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Bengaluru · Hybrid · 1-3 Yrs · Oct 13
4 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Key Responsibilities
Responsibilities
- Design, develop, and deploy end-to-end AI/ML and Generative AI applications.
- Build and optimize LLM-based applications using RAG, vector databases, and hybrid retrieval techniques.
- Develop NLP solutions including intent classification, dialogue systems, text-to-SQL, and document intelligence.
- Implement AI/ML pipelines for data processing, model evaluation, inference, and performance optimization.
- Work with AWS AI services such as Amazon Bedrock, SageMaker, OpenSearch, ECS, Lambda, and S3.
- Develop scalable backend APIs and AI services using Python, FastAPI, and related technologies.
- Implement prompt engineering, context management, chunking strategies, structured outputs, and AI guardrails.
- Optimize model latency, token usage, retrieval accuracy, and overall system performance.
- Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions.
- Deploy and maintain production-grade AI systems using Docker, Kubernetes, and cloud infrastructure.
Qualifications
- Strong proficiency in Python and Machine Learning concepts.
- Hands-on experience with Generative AI, LLMs, and RAG applications.
- Experience with LangChain, LlamaIndex, or similar LLM frameworks.
- Knowledge of NLP, NLU, intent classification, and conversational AI.
- Experience with vector databases, embeddings, and information retrieval.
- Strong understanding of AWS cloud services, particularly Bedrock and SageMaker.
- Experience in developing APIs using FastAPI or similar frameworks.
- Knowledge of Docker, Kubernetes, and cloud deployment.
- Familiarity with PostgreSQL, MongoDB, or other databases.
- Understanding of model evaluation, inference optimization, and AI system performance.
Nice to have
- Experience building production-grade AI/ML applications.
- Knowledge of time-series forecasting and anomaly detection.
- Experience with Rasa, OpenSearch, or Text-to-SQL systems.
- Familiarity with TypeScript, Node.js, or GraphQL.
- Strong problem-solving and analytical skills.
- Good communication and teamwork abilities.
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Job application FAQ
Last updated 23 October 2026
- How do I apply for AI/ML Engineer GenAI & LLM at Lookup It Solutions?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Lookup It Solutions may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI/ML Engineer GenAI & LLM role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI/ML Engineer GenAI & LLM remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this AI/ML Engineer GenAI & LLM role at Lookup It Solutions?
- This is a mid-level AI/ML Engineer GenAI & LLM role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.