Shared job
AI Engineer
Navi Mumbai · Senior
Applicants who checked fit first are 3.1× more likely to hear back
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
No credit card · 1 tap with Google
What we know about this role
MEDIUM
AU Small Finance Bank is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.
First 72 hours
Still inside it - posted 23h agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
Skills required
18 listedYou almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
Role Summary
We are seeking an experienced AI Engineer to design, develop, and deploy enterprise-grade AI and Agentic AI solutions. The ideal candidate should have strong expertise in AWS Bedrock Agents, AgentCore, LangGraph/LangChain, RAG architectures, vector retrieval systems, and AI-powered data pipelines. The role involves building intelligent agent workflows, AI assistants, Text-to-SQL solutions, and scalable GenAI applications.
Key Responsibilities
- Design and develop Agentic AI and Generative AI solutions using AWS-native AI services.
- Build and orchestrate AI agents using AWS Bedrock Agents and AgentCore.
- Develop complex agent workflows using LangGraph and LangChain.
- Implement RAG (Retrieval-Augmented Generation) solutions leveraging vector databases, embeddings, reranking, and enterprise knowledge bases.
- Design and optimize Text-to-SQL engines for natural language-driven analytics and reporting.
- Build scalable AI data pipelines using PySpark, AWS Lambda, and Amazon Redshift.
- Implement semantic caching mechanisms to improve AI application performance and reduce inference costs.
- Integrate AI solutions with enterprise applications and data platforms.
- Collaborate with business and technology stakeholders to define AI use cases and deliver production-ready solutions.
- Ensure AI systems are secure, scalable, reliable, and compliant with organizational standards.
Mandatory Technical Skills
- Strong experience with AWS Bedrock Agents.
- Hands-on expertise in AgentCore (AWS-native agent orchestration and action groups).
- Experience with LangGraph and LangChain for agent orchestration and workflow management.
- Strong understanding of RAG architectures, vector retrieval, embeddings, knowledge bases, and reranking techniques.
- Experience developing Text-to-SQL solutions.
- Proficiency in Python and AI application development.
- Hands-on experience with PySpark, AWS Lambda, and Amazon Redshift.
- Experience implementing semantic caching strategies for GenAI applications.
- Strong knowledge of REST API integrations and microservices architecture.
Good-to-Have Skills
- Experience with Multi-Agent Architectures.
- Knowledge of Contextual Retrieval techniques.
- Experience implementing AI Guardrails and Responsible AI controls.
- Knowledge of PII Detection and Data Masking frameworks.
- Experience with FastAPI for AI service deployment.
- Exposure to enterprise API integrations and AI observability tools.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
- Experience in Banking, Financial Services, or Enterprise Digital Transformation projects.
- AWS AI/ML certifications will be an added advantage.
Preferred Profile
- 4+ years of software engineering experience with at least 2 years of hands-on experience in AI/GenAI development.
- Strong problem-solving and analytical skills.
- Experience delivering production-grade AI solutions at enterprise scale.
Free · no signup
Get tomorrow's jobs before you have to search
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Someone shared one job with you. ASAI keeps finding the rest.
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.
Keep browsing