Full Stack AI Engineer (AI / Python coding / Nodejs) - Bangalore

Teamplus Staffing Solution; Bengaluru; On-site; INR 2,800,000 - 3,500,000; Full time

Job summary

Teamplus Staffing Solution in Bangalore is seeking a Full Stack AI Engineer to design and build stateful, multi-agent AI systems and deliver end-to-end AI solutions from concept to production.

The role emphasizes Python and Node.js competence, AI orchestration with LangGraph, LlamaIndex Workflows, strong emphasis on RAG, observability, and scalable cloud deployments using Docker/Kubernetes.

Qualifications

• Design and build stateful AI systems using modern orchestration frameworks.
• Translate requirements to end-to-end AI solutions from PoC to production.
• Strong knowledge of Retrieval-Augmented Generation (RAG), hybrid search, and re-ranking.
• Develop scalable backend services and lightweight frontend components for tools and prototypes.
• Implement evaluation pipelines to measure system performance and reduce hallucinations.
• Experience deploying and managing services on cloud platforms with containerization.

Responsibilities

• Design and build stateful, multi-agent AI systems for insights generation and synthesis.
• Collaborate with Product, Research, and business stakeholders to deliver end-to-end AI solutions.
• Develop scalable backend services and lightweight frontend components for internal tools.
• Optimize batching, streaming, caching, and orchestration in distributed environments.
• Establish monitoring, tracing, and observability practices for production AI systems.
• Drive pragmatic, evaluation-driven adoption of new AI technologies.

Skills

Python

Node.js

Full-stack

AI orchestration

Observability

Cloud (AWS/Azure/GCP)

CI/CD

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

LangGraph

LlamaIndex Workflows

LangSmith

LangFuse

Arize Phoenix

PyTorch

Transformers

Docker

Kubernetes

OpenAI API

Anthropic API

Gemini API

Pinecone

Weaviate

Qdrant

Neo4j

Job description

Hi,
We are having opening for Full Stack AI Engineer - (AI / Python coding / Nodejs) - Bangalore
Working Days: Monday Friday
Job Timing: 9AM 6PM
Position / DesignationFull stack DeveloperQualification Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related fieldYears of Experience

Permanent / Contract (If contract, period ?)Permanent Full TimeOffice / Remote / Hybrid Bangalore - Bellandur Number of post1GenderMale / FemaleAnnual CTC / SalaryUpto 35 LPASelection Process1- Total 3 Technical round
2- 2 rounds evaluation with LV (we can plan to take this together based on panel availability) & 1 with client Job Role & Responsibility

Job Role & Responsibility

• Design and build stateful, multi-agent AI systems using modern orchestration frameworks, enabling scalable and reliable workflows for insights generation and synthesis.
• Collaborate with Product, Research, and business stakeholders to translate requirements into end-to-end AI solutions, from proof of concept through evaluation and production deployment.
• Solid understanding of Retrieval-Augmented Generation (RAG), including hybrid search, re-ranking, and advanced retrieval techniques.
• Implement evaluation frameworks and pipelines (e.g., LLM-as-a-Judge, automated benchmarks) to measure system performance, reliability, and quality before and after release.
• Develop and maintain scalable backend services for high-throughput, low-latency workloads, while contributing to lightweight frontend components to deliver functional prototypes and internal tools.
• Optimize batching, streaming, caching, and request orchestration in distributed and async environments.
• Improve production systems across latency, throughput, reliability, observability, and unit economics.
• Partner with infrastructure teams to leverage GPU-enabled and cloud-native environments effectively.
• Establish monitoring, tracing, and observability practices for complex AI systems, ensuring performance, reliability, and debuggability in production.
• Develop reusable platform components, MCPs / APIs, and best practices for AI application development.
• Drive a pragmatic, evaluation-driven approach to adopting new AI technologies, balancing innovation with reliability and business impact.
• Stay current with advancements in AI (e.g., reasoning models, SLMs, prompting strategies) and apply them to improve systems and workflows.
• Partner with cross-functional teams to ensure AI solutions align with responsible AI, privacy, and security standards.

Skills

• Strong full-stack engineering experience, with deep expertise in Python and familiarity with TypeScript or Node.js.
• Hands-on experience with AI orchestration frameworks such as LangGraph, LlamaIndex Workflows, or similar tools.
• Solid understanding of Retrieval-Augmented Generation (RAG), including hybrid search, re-ranking, and advanced retrieval techniques.
• Experience implementing observability and tracing for AI systems (e.g., LangSmith, LangFuse, Arize Phoenix).
• Production experience with modern ML tooling and frameworks (for example: PyTorch, Transformers, scikit-learn).
• Proven experience taking AI-powered products from prototype to production with strong maintainability and operational quality.
• Proven ability to design and execute evaluation pipelines and testing frameworks to ensure reliability and reduce hallucinations.
• Experience working with APIs/SDKs from major model providers (OpenAI, Anthropic, Gemini) and open-source models.
• Experience deploying and managing services on cloud platforms (AWS, Azure, or GCP) and using containerization (Docker/Kubernetes).
• Familiarity with CI/CD pipelines and DevOps practices.
• Strong collaboration and communication skills, with the ability to work effectively across technical and non-technical teams.

Preferred Qualifications

• Experience with Spring-based service development.
• Familiarity with big data and processing ecosystems (for example: Spark, Hadoop).
• Experience with streaming systems (for example: Kafka, Flink, Beam).
• Experience with RAG pipelines, vector stores, tool-use frameworks, and multimodal model integration.
• Exposure to GPU optimization and performance tuning (for example: CUDA, inference optimization techniques).
• Experience building conversational AI systems (intents, entities, dialog flows, and interaction design).
• Familiarity with prompt optimization tools such as DSPy.
• Proficiency with vector databases (Pinecone, Weaviate, Qdrant, pgvector).
• Exposure to voice agents or multimodal AI systems.
• Experience with graph databases (e.g., Neo4j) or GraphRAG approaches.
• Foundational knowledge of machine learning or model fine-tuning.

Joining DateNeed Immediate to 15 days