Senior Implementation Engineer

Talent Pro is hiring Senior Implementation Engineer (B2B SaaS), job in Bengaluru (Bangalore) | Cutshort

Senior Implementation Engineer (B2B SaaS),
Senior Implementation Engineer (B2B SaaS),

4
\- 7 yrs
₹12L - ₹18L / yr
Bengaluru (Bangalore)
Skills
SaaS
Associate (Post-Sales SaaS / Customer Onboarding Engineer) Profiles
Mandatory (Experience 1): Must have 2+ years of hands-on experience in technical implementation, solutions engineering, or customer-facing engineering roles within B2B SaaS, preferably working with global or US-based clients,
Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and technical implementation from kickoff to go-live, including customer requirement gathering, configuration, data setup, integrations, validation, and post go-live support.
Mandatory (Experience 3): Must have strong Python scripting skills, with hands-on experience writing scripts for data migration, ETL workflows, automation, and data transformation (CSV, JSON, spreadsheets, APIs).
Mandatory (Experience 4): Must have experience working with APIs, webhooks, REST integrations, reading/debugging JSON payloads, handling authentication flows, and troubleshooting integration issues.
Mandatory (Experience 5): Must have hands-on exposure to data modeling, SQL queries (PostgreSQL preferred), data validation, reconciliation, and quality checks to ensure accuracy during migrations and billing-related workflows.
Mandatory (Experience 6): Must have experience collaborating cross-functionally with product, engineering, and sales teams to ensure timely resolution of implementation blockers and seamless client onboarding.
Mandatory (Education): Candidate should have an Engineering degree.
Mandatory (Company Type): B2B SaaS or Services company selling to North America / global markets, in a customer-facing implementation or onboarding
Read more
Users love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma
Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
Companies hiring on Cutshort

Founded
:
2024
Type
:
Services
Size
Stage
:
Bootstrapped
About
N/A
Company social profiles

Similar jobs

Posted by
Sc Lines Shipping and Logsitic Pvt Ltd
Navi Mumbai
2
\- 5 yrs
₹2.5L - ₹3.6L / yr
Negotiation
Pricing Strategy
Field Sales
Communication Skills
Sales
We're Hiring: Sales Executive/Sr. Sales Executive
📍 Location: Belapur / Navi Mumbai
🏢 Company: SC Lines Shipping and Logistics Pvt. Ltd.
We are looking for a Sales Executive/Sr. Sales Executive with a strong background in Shipping & Logistics, specifically in NVOCC and Freight Forwarding Operations.
Salary: as per industry norms, and there is no bar for right candidate.
Experience Required:
·      2–6 years of sales experience in liner shipping, vessel chartering, or freight forwarding and logistics.
·      Strong understanding of shipping operations, container trade, and charter party agreements.
·      Willingness to travel domestically as required.
·      Strong coordination and negotiation skills.
Preferred:
– Any Graduate can apply, Degree in Logistics, Maritime, or Business Administration preferred.
– Familiarity with project cargo, bulk shipments, or NVOCC operations
Key Responsibilities:
·      Develop new business opportunities in liner shipping, chartering (bulk, break bulk, or project cargo), and international forwarding.
·      Promote the company's shipping services including containerized cargo, vessel space sales, and multi-modal logistics.
·      Maintain and expand a portfolio of shippers, consignees, brokers, and freight forwarders.
·      Handle rate negotiations and prepare customized quotations and contracts based on shipping and chartering needs.
·      Analyze customer requirements, trade lanes, cargo types, and provide suitable logistics solutions.
·      Maintain database with accurate and updated client information, pipeline, and sales activities.
·      Monitor market trends, competitor offerings, and freight rates to develop a competitive sales strategy.
Read more

Posted by
Philip pawar
Pune
6
\- 10 yrs
₹10L - ₹18L / yr
Python
Artificial Intelligence (AI)
Machine Learning (ML)
Deep Learning
Generative AI
+4 more
Senior AI/ML Engineer
📍 Pune, Maharashtra (Onsite)
💼 Experience: 6–10 Years
🕒 Employment Type: Full-Time
About the Role
We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in production-grade Retrieval-Augmented Generation (RAG) systems, deep learning architectures, semantic search platforms, vector databases, and AI orchestration frameworks.
This role requires hands-on technical leadership, architectural ownership, and proven experience building scalable AI systems that operate reliably in production environments.
Key Responsibilities
– Design and architect enterprise-grade RAG (Retrieval-Augmented Generation) solutions
– Build and optimize document chunking, retrieval, reranking, and hallucination mitigation pipelines
– Develop and deploy machine learning models using XGBoost, PyTorch, and TensorFlow
– Design deep learning solutions including LSTM and transformer-based architectures
– Build semantic search and vector retrieval systems using modern vector databases
– Develop advanced AI workflows using LangChain and LangGraph
– Design and implement multi-agent AI systems and orchestration frameworks
– Lead AI model deployment, monitoring, optimization, and lifecycle management
– Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
– Mentor junior engineers and contribute to technical leadership initiatives
– Drive AI architecture decisions, performance tuning, and best practices
Required Skills & Qualifications
Must-Have Technical Skills
– 6–10 years of software engineering and AI/ML development experience
– Strong experience building and deploying production AI/ML systems
– Hands-on expertise with RAG architectures and semantic retrieval systems
– Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Qdrant
– Strong knowledge of Machine Learning and Deep Learning concepts
– Hands-on experience with:
– PyTorch and/or TensorFlow
– XGBoost
– LangChain
– LangGraph
– Experience deploying AI applications in production environments
– Strong debugging, performance optimization, and troubleshooting skills
– Excellent Python programming skills
– Understanding of REST APIs, microservices, and scalable system design
Preferred Skills
– MLflow
– Weights & Biases (W&B)
– Kubeflow
– Transformer architectures and LLM internals
– MLOps practices and model lifecycle management
– Multi-agent AI frameworks
– Cloud platforms such as AWS, Azure, or GCP
– Docker and Kubernetes
– CI/CD pipelines for AI applications
Ideal Candidate Profile
You are someone who:
– Has successfully deployed AI solutions into production environments
– Understands enterprise-scale AI architecture and design patterns
– Has practical experience with retrieval systems and vector search
– Can independently drive AI initiatives from concept to deployment
– Enjoys solving complex engineering challenges
– Demonstrates strong ownership, leadership, and mentoring capabilities
– Thrives in a fast-paced product and engineering environment
Who Should Not Apply
– Prompt-engineering-only profiles
– Candidates with only academic or research exposure
– Tutorial/demo-level GenAI practitioners
– Engineers without production deployment experience
– Professionals lacking hands-on implementation expertise
Educational Qualification
– B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related discipline
– Master's degree is a plus
Work Location
📍 Pune, Maharashtra (Onsite)
Hiring Preference
– Immediate joiners preferred
– Candidates currently working on production AI/ML systems will be given preference
Keywords
AI Engineer, Senior AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, RAG Engineer, LangChain, LangGraph, Vector Database, Semantic Search, Deep Learning, PyTorch, TensorFlow, XGBoost, ML Engineer, AI Architect, MLOps, Multi-Agent Systems, Production AI
Read more

Posted by
Mayank choudhary
Bengaluru (Bangalore)
5
\- 8 yrs
₹27L - ₹40L / yr
Python
Java
SQL
Strong Senior Backend Engineer profiles
Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems
Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).
Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework
Mandatory (Experience 4) – Must have strong experience with databases, including SQL and