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Sr. AI Engineer
Sr. AI Engineer
Vivanet's logo

Sr. AI Engineer

Ashish Uikey's profile picture
Posted by Ashish Uikey
7 - 12 yrs
Best in industry
Pune
Skills
Large Language Models (LLM) tuning
Integration
Retrieval Augmented Generation (RAG)
Semantic search
LlamaIndex
FastAPI
LangChain
GraphQL
Vector database
Prompt engineering

Senior AI Engineer

•LLM Integration • API Engineering • RAG & Semantic Search • AI-Powered Applications


Role at a Glance Level

  • Lead / Senior (Individual Contributor / Tech Lead Track) Experience
  • 7 - 10 years of relevant professional experience Location
  • Remote (Pune Based Preferred) Employment Type
  • Contract Industry Preference
  • Any (Healthcare preferred - Payer / Provider experience strongly preferred)


About the Role

We are looking for a Senior AI Engineer with strong command of LLM integration, high-performance API design, and AI-native application architecture. This is a hands-on, high-ownership role at the intersection of applied AI engineering and platform development - building the intelligent query, authoring, and retrieval layers that sit on top of a complex multi-database backend.


You will design and build APIs that expose AI capabilities to end users and external agents, integrate LLMs within governed and auditable boundaries, and deliver semantic search and RAG pipelines that ground AI responses in structured data. You will work closely with data engineers, data architects, and product teams to ensure AI outputs are accurate, performant, cost-efficient, and compliant - across any industry domain.


Key Responsibilities


LLM Integration & AI-Assisted Features

•Integrate large language model APIs - such as Claude (Anthropic), GPT-4o (OpenAI), or equivalent - into production application workflows; LLM provider preference is secondary to strong integration engineering skills.

•Design prompt engineering frameworks - including few-shot examples, structured output schemas, and chain-of-thought patterns - that improve output quality, consistency, and reliability across varying inputs.

•Build AI-assisted authoring and generation features: accept natural language inputs, call LLM APIs to generate structured outputs, validate results against defined schemas, and surface them for user review.

•Implement LLM output evaluation pipelines: automated regression testing, schema conformance scoring, output quality metrics, and A/B testing infrastructure for prompt and model variants.

•Integrate LLM calls within governed boundaries: input sanitization, output validation, comprehensive audit logging via OpenTelemetry, and policy-based access control (OPA/Rego or equivalent).


API Engineering - GraphQL & REST

•Design and build high-performance API services using FastAPI or equivalent Python frameworks; own async design, middleware, error handling, and observability instrumentation.

•Implement GraphQL APIs with dynamic schema generation: generate resolvers and SDL from a metadata or schema registry at runtime rather than hand-coding per entity type, enabling the API to serve any user-defined data model through a single interface.

•Build and expose AI agent tool interfaces using MCP (Model Context Protocol) or comparable tool-calling architectures, enabling external AI agents to query and interact with backend data systems as structured tools.

•Design efficient query execution across heterogeneous backends - graph databases, search engines, relational stores, and caches - with a unified query planning layer.


Semantic Search & RAG Pipelines

•Build semantic search capabilities over structured and unstructured data using embedding models - such as OpenAI text-embedding-3, Cohere Embed, or open-source equivalents - and vector stores such as Weaviate, Pinecone, pgvector, or Qdrant.

•Design and implement RAG (Retrieval-Augmented Generation) pipelines that ground LLM responses in retrieved structured data; implement hybrid retrieval combining dense vector search and BM25 keyword matching.

•Implement AI agent tool orchestration: allow LLMs to call backend query APIs, traverse data graphs, and synthesize multi-step answers without hard-coded prompt templates.

•Optimize retrieval quality using reranking models, query expansion, and context compression techniques; measure and track retrieval metrics (NDCG, MRR, recall@k).


Graph Database Integration

•Build AI query and retrieval layers over graph database backends; production experience with Neo4j (preferred) or equivalent platforms such as Amazon Neptune, ArangoDB, or TigerGraph is valued.

•Author graph queries in the appropriate query language for the platform - Cypher (Neo4j), Gremlin (Neptune/TinkerPop), or SPARQL - to support AI-driven graph traversal and entity lookup patterns.

•Design LLM-to-graph query translation patterns: convert natural language questions into structured graph queries, validate outputs, and return grounded, cited answers.


Technical Leadership & Collaboration

•Own architectural decisions, code reviews, and LLM API cost governance.

•Define AI testing and evaluation standards: prompt regression suites, evaluation framework selection, latency and cost benchmarks per AI feature.

•Collaborate closely with data engineers on backend data models and with data architects on schema governance to ensure AI outputs conform to defined standards.

•Focus on LLM integration patterns, prompt engineering best practices, and AI evaluation methodologies.


Required Qualifications


Technical Skills - All Required

•LLM APIs: Production integration experience with at least one major LLM provider - Anthropic Claude, OpenAI GPT-4o, Google Gemini, or equivalent; provider flexibility is valued over loyalty to a single platform.

•Frameworks: LangChain, LlamaIndex, or equivalent orchestration frameworks; RAG pipeline design and optimisation.

•API Engineering: FastAPI, GraphQL (Strawberry or Ariadne), MCP Protocol or equivalent tool-calling interface, REST, async Python (asyncio, httpx).

•Vector & Search: At least one vector store platform - Weaviate, Pinecone, pgvector, Qdrant, or equivalent; Elasticsearch for hybrid retrieval.

•Databases: Redis (caching), PostgreSQL (relational); graph database query experience - Neo4j preferred, Neptune/ArangoDB/TigerGraph accepted.

•Programming: Python (Expert); TypeScript / Node.js for gateway or tooling layers.

•Observability & Compliance: OpenTelemetry for audit logging and tracing; OPA/Rego or equivalent for policy enforcement; role-based access control patterns.

•Experience with LLM evaluation frameworks such as RAGAS, LangSmith, PromptFoo, or custom evaluation harnesses.

•Familiarity with semantic or schema standards - OWL 2, RDF, SHACL, JSON-LD - sufficient to validate AI-generated structured outputs against a defined schema.

•Exposure to dynamic code generation, metaprogramming, or schema-driven API construction patterns.

•Prior work in compliance-driven environments with audit trail, data access control, or input/output governance requirements.

•Experience with fine-tuning, instruction tuning, or model evaluation methodologies for open-source LLMs.


Preferred Qualifications


•Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Information Systems, or a related discipline.

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About Vivanet

Founded :
2021
Type :
Products & Services
Size :
0-20
Stage :
Bootstrapped

About

VIVANET delivers cutting-edge artificial intelligence solutions that empower your business to innovate faster and achieve exceptional results.

Read more

Candid answers by the company

What is the location preference of jobs?

# Vivanet - FAQ

 

## About Vivanet

Q. What is Vivanet's philosophy?

It's more than AI with us. Driven by genuine insight and a collaborative mindset, we build customized technology AI and digital solutions that deliver impact where it matters most.


Q. What does Vivanet mean?

"Viva" in Italian or Spanish means 'to acclaim with enthusiastic approval'. Vivanet represents our commitment to building acclaimed technology solutions powered by a talent network that is competent and diverse.


Q. What is Vivanet's mission?

 “Building AI solutions of Tomorrow” - to give wings to ideas. We work closely with our clients to understand their unique digital needs and build scalable, high-quality AI and software solutions that drive real business value.


Q. What is Vivanet's vision?

At Vivanet, we believe in the power of technology to transform businesses and create meaningful impact. Founded with the vision of bridging the gap between innovative ideas and practical implementation, we have grown into a trusted partner for businesses seeking reliable software solutions.


Q. Where is Vivanet located?

We are headquartered in Pune, India, with a growing global footprint. We bring a unique blend of local insight and international expertise to every project. We have satellite offices in Bengaluru, Texas, USA and Middle East (upcoming).


Q. How established is Vivanet?

Vivanet was founded in 2022 and has quickly grown to become a trusted partner for 15+ leading organizations across various industries.


## Company Culture and Values

Q. What are Vivanet's core values?

Vivanet is guided by four fundamental principles:

- Building Trust - Through accountability and delivery

- Demonstrating Commitment - By providing high-quality service to our employees and customers

- Acting with Humility - Through inclusion, respect, and situational awareness

- Aiming for Excellence - In technology and execution


Q. What is the work culture like at Vivanet?

As our Founder & CEO Aadarsh Iyer says: "At Vivanet, we connect with purpose, listen with intent, and build with care. From engagement to delivery, we do everything we can to meet and often exceed your expectations."

We are rooted in purpose and evolving through innovation. Our culture emphasizes genuine insight, collaboration, and meaningful impact.


Q. What do the leadership team believe in?

Our Technology Specialist Rohit Shedage describes our approach: "We empower businesses through thoughtful innovation and seamless tech integration, one meaningful line of code at a time."

Our Director of L&D, Sunil Datta, emphasizes: "We believe that upskilling should be a part of our daily routine, while reskilling is something we need to approach strategically. It's our way of keeping ourselves sharp, relevant, and prepared for whatever comes next!"

Our AI Specialist, Gopalkrishna Holla, focuses on "helping organizations and industries adopt and embed AI into their data, people, processes, products, and services."



## Services and Technology

Q. What services does Vivanet provide?

Vivanet offers comprehensive technology solutions across three main areas:

**AI Specializations: **

- Vision AI

- Agentic AI

- Generative AI (Gen AI)

- Conversational AI


**Software Development: **

- Cloud solutions

- SaaS applications

- Web applications

- Mobile apps

- Analytics


**Talent on Demand: **

- Smart Hiring

- Ready Talent

- Value-Driven staffing models (DNA and LED models)


Q. What technologies does Vivanet work with?

We embrace cutting-edge technologies including:

- AI/ML (Vision AI, Gen AI, Agentic AI, Conversational AI)

- Modern web and javascript frameworks

- Mobile development technologies

- Full Stack development





Q. What industries does Vivanet serve?

We solve what matters across diverse industries:

- Food and Beverage

- Systems Engineering

- Manufacturing

- Marketing

- IT Consulting

- Education

- E-Commerce

- Automotive

- Oil & Gas

- Renewable Energy

- Retail & Consumer Goods

- Logistics & Supply Chain

- Real Estate & Construction

- Aviation

- Maritime


## Career Opportunities

Q. What roles does Vivanet hire for?

We hire talented professionals across multiple domains:

- AI/ML Engineers and Specialists

- Software Developers (Web, Mobile, Cloud)

- SaaS Application Developers

- Data Scientists and Analytics Experts

- Cloud Architects

- Full-stack Developers

- Technical Leadership roles


Q. What makes Vivanet an exciting place to work?

- Work on cutting-edge AI technologies including Vision AI, Agentic AI, and Generative AI

- Exposure to diverse industries and challenging problems

- Growing company with a global footprint

- Trusted by 12+ leading organizations

- Strong focus on continuous learning and development

- Collaborative, purpose-driven culture


Q. Does Vivanet invest in employee development?

Absolutely! Learning and development is core to who we are. As our Director of L&D emphasizes, we believe upskilling should be part of our daily routine, and reskilling should be approached strategically. We help our team stay sharp, relevant, and prepared for what's next.


Q. What is the company's approach to growth?

We continue to evolve, embracing cutting-edge technologies to deliver solutions that not only meet current needs but also prepare our clients—and our team—for the future.



## Work Philosophy

Q. What makes Vivanet different from other IT companies?

- **Purpose-Driven: ** Rooted in purpose, evolving through innovation

- **Genuine Insight:** We don't just implement technology; we provide genuine insight and collaborative solutions

- **Impact-Focused:** We deliver impact where it matters most

- **Client Partnership:** We bridge the gap between innovative ideas and practical implementation

- **Quality Commitment:** We build scalable, high-quality software that drives real business value


Q. What is Vivanet's approach to projects?

We connect with purpose, listen with intent, and build with care. We work closely with clients to understand their unique digital needs and create customized solutions that deliver measurable results.


Q. How does Vivanet approach innovation?

We empower businesses through thoughtful innovation and seamless tech integration. We don't just follow trends—we help organizations adopt and embed emerging technologies like AI/ML into their operations to create real, lasting value.


## Talent Models

Q. What are DNA and LED talent models?

Vivanet offers flexible talent augmentation through specialized models:

- **DNA Model:** Smart hiring solutions

- **LED Model:** Ready talent deployment


These models allow clients and team members to scale effectively and access skilled developers and engineers as needed.



## Growth and Learning

Q. Will I have opportunities to learn new technologies?

Learning is embedded in our culture. We believe upskilling should be part of your daily routine, and we provide strategic opportunities for reskilling to keep you sharp, relevant, and prepared for the future.


Q. What kind of impact can I make at Vivanet?

As a growing company, your contributions will have direct impact on client success and company growth. You'll work on solutions that solve real business problems and move entire industries forward.


Q. How does Vivanet prepare employees for the future?

We embrace cutting-edge technologies and help our team stay ahead of the curve. Whether it's AI/ML, cloud computing, or modern frameworks, we ensure our people are equipped with the skills that matter for tomorrow's challenges.


## Application Process

Q. How do I apply to Vivanet?

Connect with us on LinkedIn at https://in.linkedin.com/company/vivanet-india


Q. What qualities does Vivanet look for in candidates?

We seek professionals who embody our values:

- Accountable and delivery-focused (Building Trust)

- Committed to quality and excellence

- Humble, inclusive, and respectful team players

- Passionate about innovation and continuous learning

- Purpose-driven with genuine insight

- Eager to create meaningful impact


Q. Does Vivanet offer opportunities for freshers?

With our strong focus on learning and development, and talent models designed to nurture skills, we welcome motivated individuals at various career stages. Connect with us to discuss opportunities that match your experience level.


## Leadership Team

Q. Who leads Vivanet?

**Aadarsh Iyer** - Founder & CEO

Leading with a philosophy of connecting with purpose, listening with intent, and building with care.


**Rohit Shedage** - Technology Specialist

Driving thoughtful innovation and seamless tech integration.


**Sunil Datta** - Director - Learning & Development

Championing continuous upskilling and strategic reskilling initiatives.


**Gopalkrishna Holla** - AI Specialist

Helping organizations adopt and embed Generative AI into their operations.


## Contact Information

Q. How can I learn more about Vivanet?

- Website: https://www.vivanet.in

- LinkedIn: https://in.linkedin.com/company/vivanet-india

- Instagram: @vivanet_india

- Location: Pune, India (with growing global footprint)


Q. Who can I contact for career inquiries?

Please reach out through LinkedIn page for career opportunities and additional information.


---


*Join us in transforming businesses through technology. At Vivanet, we don't just build software—we give wings to ideas and create meaningful impact. Be part of a team that's rooted in purpose and evolving through innovation.*

Company social profiles

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IT skills
Video Editing
Ozock by Zero1 Inc empowers agencies, brands, publishers, and other media producers to capture the attention of audiences worldwide by integrating premium content into their communications. We provide the largest daily feed of trending content to our partners that helps elevate their Social Media, amplify brands, and captivate audiences.
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Shubham Vishwakarma

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