AI Engineer – Data & AI | Saanvi Techin | Electronic City, Bangalore

Saanvi Techin; Bengaluru; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Saanvi Techin in Electronic City, Bengaluru, seeks an experienced AI Engineer - Data & AI with 4–5 years of AI/ML experience to architect intelligent systems and deliver end-to-end AI projects. You will build LLM apps, RAG pipelines, and autonomous AI agents while leveraging Python and AWS SageMaker, Bedrock, Lambda, and S3.

Responsibilities include model integration, prompt engineering, vector search, LangChain/LlamaIndex, and direct client delivery with strong stakeholder management.

Qualifications

• Bachelor's degree in Computer Science or a related technical discipline.
• 4 to 5 years of professional experience in software engineering, ML, and AI development.
• Strong hands-on programming in Python and modern data libraries.
• Deep experience with AWS AI and serverless services (SageMaker, Lambda, Bedrock, S3).
• Expertise in LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Experience building AI agents and orchestration frameworks.
• Solid ML concepts including evaluation, embeddings, and vector search.
• Proficiency with LangChain and LlamaIndex.
• Excellent client communication and stakeholder management.
• Mandatory legal work eligibility in India with hybrid onsite in Electronic City, Bangalore.

Responsibilities

• Architect, design, develop, and deploy scalable AI/ML solutions for global clients.
• Develop and optimize LLM applications, prompts, and RAG systems.
• Build and manage cloud-based AI infrastructure and serverless pipelines (SageMaker, Lambda, Bedrock, S3).
• Design autonomous AI agents and multi-agent workflows.
• Implement ML evaluation metrics and vector search databases.
• Integrate LangChain and LlamaIndex into production apps.
• Lead client communications, workshops, and end-to-end delivery ownership.
• Maintain documentation, repos, experiments, and architecture blueprints.

Skills

Python

SageMaker

Bedrock

S3

LLMs

Prompt engineering

RAG

LangChain

LlamaIndex

Client communication

Education

Bachelors in CS/AI

Tools

Docker

Kubernetes

Pinecone

Milvus

Chroma

Job description

Position Summary:

Saanvi Techin is actively seeking an experienced, high-caliber, and technical AI Engineer - Data & AI with 4 to 5 years of professional experience in artificial intelligence, large language models, and cloud-based AI infrastructure to join our technology team in Electronic City, Bangalore on a hybrid basis (4 days onsite). In this critical machine learning and generative AI role, you will be responsible for architecting intelligent systems, developing LLM applications, building Retrieval-Augmented Generation (RAG) pipelines, and orchestrating autonomous AI agents. You will leverage your deep specialist expertise in Python, AWS SageMaker, Bedrock, LangChain, and vector search to deliver uncompromised AI performance and end-to-end delivery ownership. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global technology consulting enterprise.

Detailed Job Description:

As an AI Engineer - Data & AI supporting advanced generative intelligence and data solutions at Saanvi Techin in Electronic City, Bangalore, you will take full operational, tactical, and technical ownership of model integration, prompt engineering, vector search implementation, and client-facing delivery. Your day-to-day responsibilities include writing robust Python code, deploying workloads on AWS (SageMaker, Lambda, Bedrock, S3), developing state-of-the‑art LLM applications utilizing LangChain and LlamaIndex, configuring vector databases for semantic search, and leading client communications. You will utilize your proactive problem‑solving and stakeholder management skills to steer complex AI projects from concept to production. Furthermore, you will manage application requirements via direct email to Mishel M at [e-mail], ensuring strict compliance with 4 to 5 years of relevant AI/ML engineering experience standards.

Key Responsibilities:

• Architect, design, develop, and deploy scalable artificial intelligence, machine learning, and generative AI solutions for global enterprise clients.
• Develop and optimize advanced Large Language Model (LLM) applications, prompt engineering workflows, and Retrieval-Augmented Generation (RAG) systems.
• Build, deploy, and manage cloud‑based AI infrastructure and serverless pipelines utilizing AWS SageMaker, Lambda, Bedrock, and S3.
• Design and orchestrate autonomous AI agents, multi‑agent frameworks, and complex agentic workflows.
• Implement robust machine learning evaluation metrics, word embeddings, and high‑performance vector search databases.
• Integrate modern orchestration frameworks such as LangChain and LlamaIndex into production‑grade applications.
• Lead direct client communications, technical workshops, requirement gathering sessions, and end‑to‑end delivery ownership.
• Maintain meticulous technical documentation, code repositories, experiment tracking logs, and architecture blueprints.

Required Qualifications & Skills:

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related technical discipline.
• Minimum of 4 to 5 years of progressive professional experience in software engineering, machine learning, and artificial intelligence development.
• Strong, demonstrable hands‑on programming expertise in Python and modern data manipulation libraries.
• Deep practical operational experience with AWS AI and serverless services (SageMaker, Lambda, Bedrock, S3).
• Comprehensive expertise in Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).
• Proven practical experience building AI agents and agent orchestration frameworks.
• Solid grounding in core machine learning concepts including model evaluation, word embeddings, and vector search.
• Proficiency with developer frameworks such as LangChain and LlamaIndex.
• Exceptional client communication, stakeholder management, and end‑to‑end project delivery capabilities.
• Mandatory legal work eligibility in India with local residency and availability for hybrid operations in Electronic City, Bangalore (4 days onsite).

Nice-to-Have Skills:

• Professional cloud or AI certifications (e.g., AWS Certified Machine Learning - Specialty).
• Practical experience with MLOps pipelines, Docker containerization, and Kubernetes cluster management.
• Prior professional working experience in the retail domain or enterprise AI consulting firms.
• Familiarity with fine‑tuning open‑source LLMs (e.g., Llama, Mistral) and vector databases (Pinecone, Milvus, Chroma).

Application Information:

• Recruiter: Saanvi Techin Recruitment Division
• Contact Name: Mishel M (Senior HR & Talent Acquisition Specialist)
• Email: `[e-mail]`
• Phone:
• Company Website: https://www.saanvitechin.com
• Salary/Rate: Market Competitive / Enterprise AI Package
• Deadline: Open until filled (Urgent Electronic City Hybrid Opening)
• Notice Period: Immediate to 30 Days
• Contract Duration: Permanent / Full-Time Hybrid (Electronic City, Bangalore)

Recruitment Pro Tip:

When applying for this AI Engineer - Data & AI position at Saanvi Techin, ensure your resume explicitly highlights your hands‑on AWS Bedrock/SageMaker portfolio, your RAG and agent orchestration projects, and your end‑to‑end delivery ownership experience.