Senior Software Engineer

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

Key Responsibilities

• Design and implement scalable, maintainable, and efficient Python applications
• Lead technical projects from conception to deployment
• Collaborate with cross-functional teams to define and implement new features
• Write clean, testable code with appropriate documentation
• Conduct code reviews and provide constructive feedback to team members
• Mentor junior developers and contribute to their professional growth
• Participate in technical architecture discussions and decision-making
• Troubleshoot and debug complex software issues
• Contribute to continuous improvement of development practices and processes
• Design and implement AI/ML solutions using LLMs and related technologies
• Optimize and maintain AI model deployment pipelines

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 5+ years of professional software development experience
• Strong proficiency in Python and its ecosystem (Django/Flask, FastAPI)
• Experience with SQL and NoSQL databases
• Solid understanding of software design patterns and principles
• Experience with version control systems (Git)
• Strong knowledge of RESTful APIs and microservices architecture
• Proficiency in writing unit tests and understanding of TDD practices
• Experience with CI/CD pipelines and deployment automation
• Strong problem-solving and analytical skills

AI/ML Technical Skills

• Experience with LLM frameworks (LangChain, LlamaIndex)
• Knowledge of working with large language models (GPT, Claude, etc.)
• Understanding of prompt engineering and LLM fine-tuning concepts
• Experience with vector databases (Pinecone, Weaviate, or similar)
• Familiarity with AI model deployment and serving (BentoML, Ray Serve)
• Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
• Knowledge of AI/ML observability and monitoring tools
• Understanding of AI safety practices and responsible AI development
• Experience with embedding models and semantic search implementations
• Familiarity with AI application development patterns and best practices

At Egnyte we develop content governance and collaboration products that are deployed across several large companies such as Yamaha and Red bull. The Egnyte platform supports daily, business critical operations for a million-plus user base interacting with a multi-petabyte content set.

We store, analyze, organize, and secure billions of files and petabytes of data with millions of users. We observe more than 1M API requests per minute on average. To make that possible and to provide the best possible experience, we rely on great engineers. For us, people who own their work from start to finish are integral. Our Engineers are part of the process from design to code, to test, to deployment, and back again for further iterations.  

We’re looking for Senior Software Engineers and he should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.

• Design and develop scalable cloud components that seamlessly integrates with on-premises systems.
• Challenge and redefine existing architecture or make 10x improvements in performance and scalability.
• Ability to foresee post-deployment design challenges, performance and scale bottlenecks.
• Hire and mentor junior engineers
• Doing code reviews, unit and performance testing of the code.
• Monitor and manage 3000+ nodes using modern DevOps tools and APM solutions.

• Demonstrated success designing and developing complex cloud based solutions
• Solid CS fundamentals with one or more areas of deep knowledge
• Experience with the following technologies: Java, SQL, Linux, Python, Nginx, Haproxy, BigQuery, HBase, New Relic, memcache, Elasticsearch, docker.
• Data driven decision process
• Relies on automation testing instead of manual QA
• Experience in working with Google cloud, AWS or Azure is preferred

About Our Client

It is a last-mile tech-logistics solution provider for intra-state deliveries based in Bangalore. It offers reliable, affordable, and professional services, structured to serve enterprises.

Our Client aggregates light commercial vehicles for urban logistics and has onboarded 55,000+ truckers on its platform across 14 cities. Our Client works across industry sectors like organized retail, FMCG and e-commerce, distribution and 3PL companies. Some of its clients include Amazon, Flipkart, Bisleri, Vishal Mega Mart, Future Supply Chain, Coca-Cola, Delhivery, and Udaan.

The company offers customized logistics solutions for clients, along with other value-added services such as screened drivers, audited and GPS-enabled vehicles, point-to-point billing, status updates, 24x7 service, and greater efficiency, all at transparent and economical pricing.

Our Client, as a brand, is known as one of the market leaders in the enterprise segment, and first movers to identify and empathize with the underserved urban trucker community, playing a huge role in making them a part of the mainstream economy. This series-B funded tech-logistics company aims to disrupt the primitive $35bn+ urban-logistics industry by leveraging technology and help enterprises to reach consumers faster.

Our Client is India's largest enterprise urban-logistics provider in India, with 55,000+ Light Commercial Vehicles on its platform.

Why Our Client?

1) Young Startup growing and well funded.

What will I do?

- Designing user flows and converting them into logical entities in the code.

- Integration of user-facing elements developed by front-end developers with server-side logic.

- Designing Database schemas.

- Building reusable code and libraries for future use

- Optimization of the application for maximum speed and scalability

- Implementation of security and data protection

- Design and implementation of data storage solutions

What skills should I have?

- 3+ years of experience in Backend Development.
- Language: NodeJs
- Additional knowledge of Python will be a plus
- Understanding of microservices architecture.
- User authentication and authorization between multiple systems, servers, and environments
- Integration of multiple data sources and databases into one system

- Management of hosting environment, including database administration and scaling an application to support load changes

- Data migration, transformation, and scripting

- Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform
- Creating database schemas that represent and support business processes
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git

Develop server-side applications using NestJS and NodeJS.

. Should have great hands-on knowledge of TypeOrm.

• Design and implement APIs, web services, and database models.

• Collaborate with front-end developers and other team members to integrate user-facing elements with server-side logic.

• Optimize application performance for maximum speed and scalability.

• Implement security and data protection measures.

• Conduct thorough testing and debugging of applications.

• Troubleshoot and resolve issues, ensuring high application reliability.

• Stay up-to-date with emerging technologies and industry trends, and apply them to projects as necessary.

• Collaborate with team members, participate in code reviews, and provide constructive feedbacks.

• Follow best practices and coding standards to ensure high-quality and maintainable code..

Requirements:

• Bachelor's degree in Computer Science...

Our team is looking for experienced backend engineers to lead the development of our cloud-based software products and be responsible for major technical decisions associated with them and accountable for their successful execution.

In this position on the software engineering team, you’ll have the opportunity to contribute to client and internal facing products. FarmSetu’s suite of products spans multiple technical domains and disciplines in software and hardware, and experience in end-to-end systems thinking across distributed components is key for this role.

• Design, implement and deploy back-end services
• Lead the delivery of software projects in a team-based environment
• Collaborate cross-functionally with business users, product managers, customer success representatives and other engineers to define, design, scope and ship new features using elegant solutions.
• Provide recommendations for continuous improvement.
• Work alongside other engineers on the team to elevate technology and consistently apply best practices.
• Help others to improve the quality of their work through regular design and code reviews
• Deliver new features to production environments and support them in operation
• Participate in building the open engineering culture at FarmSetu

FarmSetu’s technology stack includes (but will not be limited to) Python, Django/Flask/FastAPI, GraphQL, Hasura, React, Flutter, Dart, Postgres, Celery, Docker, Git/Bitbucket to be deployed on Digitalocean/GCP infrastructure. We’re also quick to adopt better tools and processes, so you’ll be more than welcome to help shape our tool suite.

• 2+ years of experience developing applications at an enterprise scale using the front and back-end technologies in our stack
• Ability to develop robust and scalable backend services defined by GraphQL and RESTful APIs in Python using OpenAPI standards
• Familiarity with Cloud/SaaS architectures and how to build secure and maintainable services
• Strong understanding of unit testing, design patterns and usage of tools like profilers
• Experience with source control and continuous integration tools
• Worked in an Agile multi-functional team
• Thrive in an environment that requires you to partner with multiple cross-functional teams as stakeholders/customers
• Great oral and written communication skills

• Competitive salary
• Annual compensation reviews
• 12 days of annual leave plus public holidays
• Ongoing investment in you and your skills
• The right equipment for the job

• Creating a WordPress plugin with WordPress coding standard and themes, contributed plugins over wordpress.org is a big plus.
  

• Knowledge of how to interact with RESTful APIs and formats (JSON, XML).
  

• Proficient understanding of code versioning tools such as Git, Mercurial.
  

• Strong Knowledge in Woo commerce, Yost SEO, ACF.
  

• Strong understanding of PHP back-end development.