Forward Deployed Engineer / AI Solutions Engineer
Location: Bangalore – Onsite
Experience: 4–6 Years
Salary: ₹7–10 LPA
Employment Type: Full-time
Joining: Immediate / Short Notice Preferred
Department: Customer Engagement & Transformation
Job Summary
We are looking for a skilled Forward Deployed Engineer / AI Solutions Engineer with strong experience in Python, Generative AI, LLM, RAG, AWS/Azure, cloud infrastructure, Docker, CI/CD, and data engineering.
The candidate will work closely with business stakeholders, customers, and technical teams to design, develop, deploy, and maintain production-ready AI applications and enterprise solutions.
This is a hands-on, end-to-end engineering role requiring experience across AI/ML, backend development, frontend development, cloud, data, DevOps, and production support.
Key Responsibilities
- Design, develop, and deploy Generative AI, LLM, and RAG-based applications.
- Build enterprise AI agents and conversational applications with function calling, state management, guardrails, and safety mechanisms.
- Develop RAG pipelines involving document ingestion, chunking, embeddings, vector search, reranking, and hybrid retrieval.
- Develop scalable backend APIs using Python, FastAPI, or Flask.
- Develop frontend/UI components using TypeScript.
- Design and manage cloud infrastructure using AWS or Azure.
- Build and deploy applications using Docker and containerization.
- Develop and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
- Work with cloud data services including AWS S3, AWS OpenSearch, data lakes, and cloud data pipelines.
- Implement application monitoring, logging, alerting, and observability.
- Optimize application performance, scalability, latency, reliability, and cloud costs.
- Work with databases such as PostgreSQL, MongoDB, Redis, and other relational/NoSQL databases.
- Implement automated testing including unit, integration, and end-to-end testing.
- Follow best practices for Git, version control, branching, code reviews, clean code, and release management.
- Work on document AI solutions involving PDF processing, OCR, table extraction, layout parsing, and multimodal LLMs.
- Create technical documentation, architecture documents, deployment guides, runbooks, test plans, and release notes.
- Conduct client-facing workshops, requirement-gathering sessions, technical discussions, and solution demonstrations.
- Translate business requirements into scalable and secure technical solutions.
- Troubleshoot production issues and support applications throughout their lifecycle.
Mandatory Skills
Candidates should have strong hands-on experience in the following areas:
AI / Generative AI
- Generative AI / GenAI
- Large Language Models (LLM)
- Retrieval-Augmented Generation (RAG)
- AI Agents / Conversational AI
- Prompt Engineering
- Function Calling and Guardrails
- LangChain / LlamaIndex
- Hugging Face
- Vector Databases
- Embeddings, Chunking, Reranking, Hybrid Search
- Document AI / OCR / Multimodal AI
Python & Software Development
- Strong Python programming
- FastAPI / Flask
- REST APIs
- TypeScript
- Software engineering principles
- Clean Code / SOLID / Design Patterns
- Unit Testing / Integration Testing / E2E Testing
- Git and Version Control
Cloud & DevOps
- AWS or Azure
- Cloud infrastructure and architecture
- Docker / Containerization
- CI/CD
- GitHub Actions / GitLab CI / Jenkins / Azure DevOps
- Terraform / CloudFormation / Infrastructure as Code
- Cloud networking and IAM
- Secrets management
- AWS S3
- AWS OpenSearch
- Cloud data pipelines / Data Lakes
Databases & Data
- PostgreSQL
- MongoDB
- Redis
- Vector databases such as Qdrant, Milvus, Pinecone, or Elasticsearch
- Cloud-based data sources and pipelines
Required Experience
- 4–6 years of overall IT/software engineering experience.
- Strong professional experience in Python and software development.
- Hands-on experience with AWS or Azure cloud environments.
- Practical experience with Generative AI, LLM, and RAG applications.
- Experience with Docker and CI/CD pipelines.
- Experience building and deploying production-ready applications.
- Experience working with cloud data services and data pipelines.
- Experience interacting with clients, customers, business stakeholders, or technical teams.
- Strong problem-solving and analytical skills.
- Excellent verbal and written communication skills.
Good to Have
- Kubernetes, EKS, or AKS experience.
- Prometheus, Grafana, ELK Stack, Datadog, or New Relic.
- AWS/Azure/GCP cloud certification.
- Experience with cloud security and compliance.
- Experience with Agentic AI.
- Pharmaceutical, healthcare, or life sciences industry experience.
What We Are Looking For
We are looking for a hands-on AI/Software Engineer who can independently take ownership of an application from requirement gathering and solution design to development, cloud deployment, production support, and optimization.
The ideal candidate should be comfortable working across AI, Python, cloud, data, DevOps, APIs, and frontend technologies and should enjoy solving real-world business problems using modern AI technologies.
Interested candidate can share your resume through Gmail / Whatsapp [email protected] / 9342930710
Pay: ₹700,000.00 - ₹1,000,000.00 per year
Benefits:
- Leave encashment
- Provident Fund
Work Location: In person
