Infogain Hiring AI / ML Developer (Associate) – Bengaluru | Apply Online
Infogain Hiring AI / ML Developer (Associate) – Bengaluru
Posted by JobsForAll
🏢 Company Overview
Infogain is a global digital engineering and software platform company headquartered in Silicon Valley. The company partners with Fortune 500 enterprises and digital-first organizations to build intelligent, cloud-native, and AI-powered platforms across healthcare, insurance, travel, telecom, retail, and CPG domains.
As a Microsoft Gold Partner and Azure Expert Managed Services Provider, Infogain is deeply invested in Generative AI, enterprise AI platforms, and responsible AI engineering.
🧠 Job Summary
Infogain is looking for a passionate Associate AI / ML Developer who wants to work at the intersection of Generative AI, Large Language Models, and intelligent agent systems. This role is ideal for engineers who enjoy experimentation, building production-ready AI systems, and solving real-world business problems using modern AI stacks.
You will work on Infogain’s flagship Generative AI solutions, contribute to RAG-based systems, multi-agent architectures, and knowledge discovery platforms while collaborating with experienced AI architects.
💭 JobsForAll Note: This role is best suited for candidates who want hands-on exposure to enterprise-grade Generative AI systems, not just academic experimentation. Expect real production impact and steep learning curves.
🎓 Eligibility Criteria
- Bachelor’s degree in Computer Science or related discipline
- 2–6 years of experience in AI/ML or Generative AI projects
- Strong Python programming skills
- Hands-on experience with NLP, LLMs, and AI workflows
- Familiarity with cloud platforms (AWS / Azure / GCP)
📋 Job Details
| Role | AI / ML Developer (Associate) |
|---|---|
| Company | Infogain |
| Location | Bengaluru, India |
| Experience | 2 – 6 Years |
| Employment Type | Full-Time |
| Industry | IT Services & Digital Engineering |
🛠️ Technical Skills & Tools
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
- Prompt Engineering & Evaluation
- Retrieval Augmented Generation (RAG, Corrective RAG, KG-RAG)
- Fine-tuning using LoRA / QLoRA
- LangChain, LangGraph, LangFlow, LangSmith
- Vector Databases & Knowledge Graphs
- FastAPI for REST services
- Multi-Agent Design & Observability
🧩 Key Responsibilities
- Translate business requirements into AI-driven technical solutions
- Design agent-based architectures for Generative AI systems
- Build and evaluate RAG pipelines using structured and unstructured data
- Develop production-ready AI models and APIs
- Collaborate with cross-functional teams and stakeholders
- Ensure AI safety, governance, and compliance guardrails
- Document architectures, experiments, and outcomes
🚀 What You’ll Actually Build
In this role, you will work on real-world enterprise Generative AI systems, not experimental demos. Typical deliverables include:
- RAG-powered knowledge assistants for enterprise data
- Multi-agent AI workflows for automation and decision support
- LLM-powered APIs integrated into production platforms
- Evaluation pipelines to measure accuracy, relevance, and safety
🎯 Who Should Apply / Who Should Not Apply
✅ Who Should Apply
- Engineers eager to build real-world Generative AI applications
- Candidates interested in LLMs, agents, and knowledge-driven systems
- Professionals comfortable with Python and AI experimentation
- Those seeking long-term growth in enterprise AI engineering
❌ Who Should NOT Apply
- Candidates looking only for theoretical or academic AI roles
- Those unwilling to work on production systems
- Professionals without hands-on coding experience in Python
📈 Career Growth & Learning Opportunities
This role offers exposure to cutting-edge Generative AI stacks, enterprise deployments, and mentorship from senior AI architects. High performers can grow into Senior AI Engineer, AI Architect, or GenAI Platform Specialist roles.
📊 AI Career Outlook & Market Demand
Generative AI engineers with hands-on experience in LLMs, RAG pipelines, and agent-based systems are among the most in-demand professionals globally.
Skills such as enterprise RAG design, evaluation frameworks, and AI safety guardrails significantly improve long-term career prospects across product companies, consultancies, and AI startups.
📌 How to Apply
Apply on Official Infogain Career Page🧠 How to Prepare for Infogain AI Interviews
- Understand RAG architectures and vector database trade-offs
- Be ready to explain agent orchestration and evaluation strategies
- Revise Python-based API design (FastAPI)
- Know AI safety, hallucination mitigation, and observability basics
❓ FAQs
Is this role focused more on research or implementation?
This role is primarily implementation-focused with real production responsibilities.
Is prior experience with LangChain mandatory?
Preferred but not mandatory. Strong fundamentals in LLM workflows are more important.
Is this role suitable for career switchers?
Only if you already have hands-on AI/ML project experience.
📚 Resources & References
⚠️ Disclaimer
Company Disclaimer: Infogain conducts recruitment only through its official website and does not charge any fees.
JobsForAll Disclaimer: JobsForAll shares verified job opportunities and never asks candidates for money, fees, or personal financial information.
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