N #2660
Applications open
Full-Time Job
Gen AI Engineer
Firstsource
About the role
Job Description
Gen AI Engineer (Mid-Level) Role Title: Gen AI
Engineer Mid-Level Experience
2โ5
Years Location
Remote Employment Type: Full-Time
About the Role
We are looking for a skilled Gen AI Engineer with hands-on experience in building and deploying production-ready AI solutions using Large Language Models (LLMs). The ideal candidate should have strong software engineering fundamentals, experience delivering end-to-end Gen AI solutions, and the ability to work directly with clients and stakeholders. At Firstsource, you will work on high-impact client engagements, own technical solutions from discovery to production, and collaborate with engineering teams to build scalable, reusable AI solutions.
Key Responsibilities
- Own end-to-end delivery of Gen AI solutions, from requirement gathering and discovery to production deployment.
- Design and develop document processing pipelines, AI agents, RAG systems, copilots, and operational AI solutions.
- Build, deploy, and optimise LLM-powered applications.
- Implement evaluation frameworks, prompt versioning, cost and latency optimisation, monitoring, and guardrails.
- Interact with clients and stakeholders to understand business requirements and translate them into technical solutions.
- Mentor junior engineers (0โ2 years of experience), review code, and support their technical development.
- Contribute reusable components, frameworks, and solutions to Firstsource's internal AI platform.
Required Skills
- & Qualifications 3โ5 years of software engineering experience, with at least one product or major feature successfully deployed to real users.
- Strong programming skills in Python and at least one of the following: TypeScript Go Java Hands-on experience building and deploying production-ready Gen AI / LLM-based applications.
- Strong understanding of: Retrieval-Augmented Generation (RAG) Vector databases โ Pinecone, Weaviate, pgvector AI agents and agent-based systems Distributed systems and system design Cloud platforms โ AWS, Azure, or GCP Experience with LLM cost optimisation, latency management, prompt versioning, and evaluation frameworks.
- Experience interacting directly with clients, product managers, or business stakeholders.
- Must have independently owned at least one project from development to deployment.
- Hands-on experience with AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or Windsurf.
- Good to Have /
Preferred Skills
- Experience developing internal engineering tools or AI platforms.
- Domain experience in BFSI, Healthcare, Telecom, Retail, or Insurance.
- Exposure to evaluation frameworks such as Braintrust and LangSmith.
- Experience with MCP servers, agent frameworks, and multi-agent orchestration.
- Experience troubleshooting production issues and making architectural improvements.
What We Offer
- Opportunity to work on high-impact client engagements with real business outcomes.
- Career growth opportunities towards Senior / Staff FDE and Architect roles.
- Access to the latest Gen AI tools, including Claude Code and internal AI platforms.
- Exposure to vector databases, evaluation pipelines, and advanced AI technologies.
- Competitive compensation aligned with skills, performance, and business impact.
- Direct exposure to Firstsource leadership and the wider RP-Sanjiv Goenka Group network.
- Company: Firstsource Solutions
Eligibility & process
Who can apply
Experience: 3-5 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
19 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Firstsource and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Firstsource Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Firstsource and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Open, Languages, Machine Learning, Chatbot, Processing, Aiml, Ai Solutions, Python) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Firstsource Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join Firstsource as a Gen AI Engineer?
Highlight Firstsource's market reputation, recent tech innovations, and how your skills in Open directly solve their team's objectives.
Highlight Firstsource's market reputation, recent tech innovations, and how your skills in Open directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
15-25 Lacs PA
Remote, India
Experience: 3-5 Yrs. Open to matching quaโฆ
