AI/ML Engineer – Voice (2–3 Years)

🚨 We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

AI Engineer (1–8 years)

Location: Bellandur, Outer Ring Road, Bengaluru (Work from Office only)

Organization Size: 20 members across functions, and growing

Reports to: Head of Engineering

GetSetYo is a Bangalore-based early-stage travel tech startup, built by internet industry veterans (ex-Makemytrip, Flipkart, Ola, PhonePe, Zynga, MagicPin, etc.) and premier academic institutes (IIT Delhi, IIT BHU, ISB, DCE, NIT Surathkal, etc.), and funded by multiple unicorn founders (of companies such as MakeMyTrip, Zomato, Groww, Udaan, MaMaEarth, etc.) and we’re growing fast. Look us up here - https://www.getsetyo.com/about

We’re building something exciting in the travel tech space and looking for a senior AI Engineer to join our core engineering team in Bangalore.

Who Are You:

• 1–8 years of total software engineering experience, including at least 1 year building and shipping AI/ML or LLM-powered products in production
• Engineering degree from a top-ranked college
• Strong engineering foundation in Python or Java, with the ability to build reliable backend services, APIs, evaluation pipelines, and developer tooling around AI systems
• Hands-on experience with LLM application patterns such as RAG, tool/function calling, structured output generation, vector search, reranking, and agentic workflows
• Familiarity with agent frameworks and orchestration patterns, including multi-step workflows, planner/executor patterns, tool routing, and guardrails
• Working knowledge of MCP (Model Context Protocol) or similar patterns for connecting models to internal tools, data sources, and external systems
• Strong understanding of context engineering, prompt design, and how to manage instructions, conversation state, tools, memory, and retrieved context for consistent model behavior
• Experience with evaluation and observability for AI systems: offline evals, online metrics, regression testing, trace inspection, cost/latency monitoring, and failure analysis
• Comfortable working in a fast-paced startup where you can own problem statements end to end — from prototype to production rollout
• Must have experience using AI-native developer tools such as Claude Code / coding agents / AI-assisted workflows to accelerate delivery

What You’ll Do

• Build and own production-grade AI features across the stack, from experimentation and prototyping to backend integration, deployment, monitoring, and iterative improvement
• Design and implement agentic workflows for real user problems — combining LLM reasoning, retrieval, tool use, business rules, and backend APIs into reliable multi-step systems
• Build and optimize RAG and search systems: document ingestion, chunking strategies, embedding pipelines, vector indexes, hybrid retrieval, reranking, and citation/grounding flows
• Integrate models with internal and external systems through tool calling, APIs, and where relevant MCP-compatible interfaces, so models can safely access the right context and take useful actions
• Drive context engineering for AI products: decide what memory, instructions, retrieved context, tool outputs, and interaction history should be passed to the model at each step for maximum quality and efficiency 
• Build evaluation systems for prompts, agents, and retrieval quality — including benchmark datasets, golden test cases, automated regression checks, and human-in-the-loop review workflows
• Establish observability and debugging for AI pipelines: traces, tool execution logs, latency/cost tracking, hallucination analysis, and failure-mode investigation 
• Help define engineering standards for AI systems across security, guardrails, versioning, rollback, experimentation, and cost-performance tradeoffs

What We Offer:

• AI Impact from Day 1: Lead the development of our core ML capabilities
• Fast Iteration: Weekly releases and direct user feedback
• Collaborative Culture: Flat structure and transparent communication
• Vibrant Office: In-person energy in Bangalore HQ
• Perks: Employee travel discounts and exclusive deals.

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

About Role

We are looking for a hands-on Python Engineer with strong experience in backend development, AI-driven systems, and cloud infrastructure. The ideal candidate should be comfortable working across Python services, AI/ML pipelines, and cloud-native environments, and capable of building production-grade, scalable systems.

This role offers high ownership, exposure to real-world AI systems, and long-term growth, making it ideal for engineers who want to build meaningful products rather than just features

Key Responsibilities

• Design, develop, and maintain scalable backend services using Python
• Build APIs and services using FastAPI, Flask, or Django
• Ensure performance, reliability, and scalability of backend systems
• Integrate AI/ML models into production systems (model inference, automation)
• Build and maintain AI pipelines for data processing and inference
• Deploy and manage applications on AWS, with exposure to GCP and Azure
• Implement CI/CD pipelines, containerization, and cloud deployments
• Collaborate with product, frontend, and AI teams on end-to-end delivery
• Optimize cloud infrastructure for cost, performance, and reliability
• Collaborate with product, frontend, and AI teams on end-to-end delivery
• Follow best practices for security, monitoring, and logging

Required Qualifications

• 2–4 years of professional experience in Python development
• Strong understanding of backend frameworks: FastAPI, Flask, Django
• Hands-on experience integrating AI/ML systems into applications
• Solid experience with AWS (EC2, S3, Lambda, RDS, IAM)
• Exposure to Google Cloud Platform (GCP) and Microsoft Azure
• Experience with Docker and CI/CD workflows
• Understanding of scalable system design principles
• Strong problem-solving and debugging skills
• Ability to work collaboratively in a product-driven environment

Perks and Benefits

• Work in Nikhil Kamath funded startup
• ₹3 – ₹4.6 LPA with ESOPs linked to performance and tenure
• Opportunity to build long-term wealth through ESOP participation
• Work on production-scale AI systems used in real-world applications
• Hands-on experience with AWS, GCP, and Azure architectures
• Work with a team that values clean engineering, experimentation, and execution
• Exposure to modern backend frameworks, AI pipelines, and DevOps practices
• High autonomy, fast decision-making, and real ownership of features and systems

Azure Chatbot Developer

Location :Bangalore / Mumbai / Pune

Job Description

Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle

f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.

g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET

i) Knowledge of Python and NodeJS is a plus

j) Ability to design and optimize SQL Server 2008 stored procedures.

k) Experience with JQuery, CSS3, HTML5 or similar technologies.

l) Ability to adapt quickly to an existing, complex environment.

About the job

As a Senior SIP Engineer, you must take complete ownership of supporting all VoIP infrastructure, debugging issues related to specific servers or software, or remote clients such as SIP devices (both virtual such as soft-phone or WebRTC client, and physical such as a desk phone or an on-premise PBX), and providing fixes.

• Support customers during EST timezone during critical releases or emergency incidents 5+ yrs of supporting global VoIP services and/or applications on cloud-based servers.
• Expertise in SIP call flow analysis and debugging Expertise in setup and maintaining SIP-based monitoring, debugging, and alerting services
• Experience scripting call flow, dialplan, and custom routing with FreeSwitch using LUA and XML
• Experience in debugging Kamailio and Freeswitch-based applications is a must Good problem-solving and analytical skills Excellent written and verbal communication
• Experience working with open-source projects
• Exposure to SIP Carrier Integration
• Advanced Experience with cloud media infrastructure (load balancers, gateways, SBCs, STUN, TURN)
• Advanced Knowledge of all modern VoIP protocols/platforms including (SIP, RTP stack & SDP, RTCP, TCP, UDP, SIP, HTTPS, SSL/TLS)

• Back-end software development
• Software engineering and designing data models and write effective APIs
• Working together with engineers and product teams
• Understanding business use cases and requirements for different internal teams
• Maintenance of existing projects and New feature development
• Consume and integrate classifier/ ML snippets from Data science team

What we are looking for:

• 2+ years of industry experience with the Python and Django framework.
• Degree in Computer Science or related field
• Good analytical skills with strong fundamentals of data structures and algorithms
• Experience building backend services with hands-on experience through all stages of Agile software development life cycle. 
• Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
• Experience with Databases.
• Experience with writing REST-APIs.
• Prototyping initial collection and leveraging existing tools and/or creating new tools
• Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
• Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
• A positive attitude, and a growth mindset

Bonus:

• Experience with relevant Python libraries such as Requests, sklearn, Selenium
• Hands on experience in Machine learning implementations
• Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
• Good Humor