Python Developer

Core Responsibilities:

• Design, develop, and maintain backend services using Python or Golang.
• Write clean, efficient, and well-documented code following best practices.
• Build and consume RESTful APIs and microservices.
• Collaborate with QA, DevOps, and product teams for smooth feature delivery.
• Participate in peer code reviews and technical discussions.
• Debug and fix issues, ensuring system stability and performance.
• Continuously learn and apply new technologies and tools in backend development.

Experience and Expertise:

• 0–2 years of software development experience (internships or projects acceptable).
• Proficiency in at least one backend programming language (Python or Golang).
• Strong understanding of object-oriented programming and software fundamentals.
• Knowledge of data structures, algorithms, and database concepts.
• Familiarity with Linux-based development environments.
• Exposure to Git and version control workflows.

Skills:

• Strong analytical and problem-solving ability.
• Willingness to learn, adapt, and take ownership.
• Effective communication and teamwork skills.
• Curiosity for emerging technologies, including AI-driven development, backend technologies, distributed systems, and modern engineering practices.

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).

Job Title: Backend Developer

Job Description: We are seeking a skilled Backend Developer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining the server-side logic, databases, and APIs of our applications. Key responsibilities include collaborating with cross-functional teams to develop scalable and efficient backend systems, troubleshooting and resolving issues, and staying updated on industry trends. Proficiency in programming languages such as Python, Java, or Node.js, along with experience in database management and API development, are essential for success in this role. Strong problem-solving skills, attention to detail, and a passion for creating robust and high-performance backend solutions are highly valued.

Requirements:

Proficiency in one or more backend programming languages (e.g., Python, Java, Node.js)

Experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB)

Knowledge of RESTful API design and development

Familiarity with cloud services (e.g., AWS, Azure) is a plus

Strong problem-solving and troubleshooting skills

Collaborative mindset with excellent communication skills

Ability to work in a fast-paced and dynamic environment

Basic Qualifications:

• 3+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Additional Job requirements

• BS/MS/PhD in Computer Science/Math or equivalent
• BS in computer science or related field.
• 2+ years of relevant professional software development experience: designing, developing, and delivering software written in Java, C#, or C++, web development.
• Knowledgeable in object-oriented design patterns.
• Experience building highly scalable and distributed systems

Preferred Qualifications

• Experience with service-oriented architecture and application/services development
• Passion for performance debugging and benchmarking

Ability to clearly and concisely communicate with technical and non-technical stakeholders across all levels of the organization

Primary Responsibilities:

• Principal Engineers  are responsible for driving Technology and Engineering Best Practices in their respective teams.
• They should demonstrate a high level of ownership and accountability for their product and software systems.
• They are expected to go above and beyond their role by contributing in tools, processes and practices which bring operational efficiency and are aligned with business goals.
• They are expected to actively participate in development along with team members and create systems and modules which represent a working model of engineering best practices.
• They are expected to participate in code reviews, design reviews, architecture discussions.
• They are responsible for the Engineering metrics/health of their systems including strong alerting and monitoring mechanisms.
• They are expected to lead the adoption of best practices around coding, designing, performance of systems in a team.

Experience or Skills Required:

• B.Tech or Advanced degree in Computer Science with 6-12 years of industry experience in product based companies.
• Proficiency with Basic libraries for machine learning such as scikit-learn and pandas
• Experience in building solutions based on Linear Regression, Logistic Regression, K Nearest neighbor, SVM, Random Forest, Decision Trees.
• Strong experience with at least one of programming languages: Python, Java, Vertx, Golang
• Strong experience in building Server side reusable components based on Microservices or Distributed Architecture.
• Solid coding skills with ability to lead teams in identifying clearing tech debts for large scale code base.
• Good understanding & experience in improving performance of scalable and real time responsive applications.
• Excellent Problem Solving skills and an aptitude to approach problems from first principles and build solutions for those.
• Must have excellent communication (verbal & written), interpersonal, leadership, and problem solving skills.
• Must be able to work independently and enjoy working at a fast paced start-up environment
• Excellent Mentoring skills. Be the technical mentor to your team.
• Must be comfortable working in fuzzy environments where boundaries are not clearly defined.

Architectural:

Design and implement a software architecture

Select a technology stack

Design and configure infrastructure

Select a development toolkit (IDE, etc.)

Design and implement a database design

Improve and optimise the application architecture

Ensure scalability of the application

Ensure scalability of the infrastructure

Explore new technologies and decide whether to implement them

Strategy, planning, and design:

• Take end-to-end ownership of the product, identify technology requirements, define the future product vision, create preliminary design concepts for add-on modules and shape overall technology and product roadmap by collaborating with the founders, business development, and marketing team.
• Ensure user oriented design is the primary approach to product development across multiple screens, based on user behaviour data and direct customer feedback.

Implementation and deployment:

• Manage Product Release, QA cycles, feature implementation and on time delivery through in-house team and vendors.
• Collaborate with team and customers to define use cases.
• Creation of wireframes/prototypes, site maps and user-flows for web and mobile platforms.

Operational management :

• Support marketing by implementing technical requirements for SEO/product analytics.
• Establish and supervise a quality assurance process, including integration & system testing.
• Rigorously monitor key performance metrics and coordinate with various teams to take corrective actions if needed.
• Establish and forecast ROI of features and succinctly articulate competitive advantage.
• Set-up data collection and analysis system in collaboration with CEO to track key performance.

metrics.

Strong fundamentals in computer science/engineering and algorithm design.

Practical knowledge of computer software algorithms in machine/deep learning, NLP, Computer Vision etc.

Personal Requirements:

• Min of 7+ years of Hands on experience in Web app development, payment gateways implementation, architecture design, product management, databases and UI/UX in consumer facing applications.
• Experience on projects involving engineering and algorithmic functions, machine learning, deep learning and artificial intelligence is very advantageous.
• Creative self-starter who is comfortable with both taking initiative and working in teams.
• Strong communication skills.
• Willingness to learn and utilise emerging technologies.
• Sincere passion to use disruptive technologies that can be globally significant