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About Ampera

Ampera builds enterprise-grade AI platforms that sit at the intersection of large-scale data systems, intelligent orchestration, and applied AI.

Our products help Fortune 1000 companies optimize operations, manage risk, and unlock decision intelligence using AI, LLMs, and agentic workflows.

Role Overview

We are looking for a strong Full Stack Engineer who has built production-grade enterprise applications, worked with large datasets, and is excited about integrating AI systems and LLM-powered workflows into real-world platforms.

This is not a UI-only or API-only role.

You’ll own end-to-end system design, from frontend experiences to backend orchestration and AI integration.

What You’ll Work On

• Enterprise web platforms used by analysts, admins, and leadership
• High-scale data-intensive applications (query orchestration, risk intelligence, estimation engines)
• AI-augmented workflows (LLMs, agents, optimizers, explainability layers)
• Secure, governed, multi-tenant systems with role-based access

Key Responsibilities

Full Stack Development

• Design and build scalable web applications (frontend + backend)
• Develop API-first backend services for enterprise workflows
• Build admin dashboards, analyst workflows, and decision-ready UIs
• Ensure performance, reliability, and maintainability at scale

Backend & Data Systems

• Work with large-scale relational databases (Azure Synapse, Redshift, Snowflake, PostgreSQL, SQL Server, etc.)
• Design data models for high-volume, analytical workloads
• Implement caching, orchestration, background processing, and async workflows
• Integrate with enterprise systems (identity, BI tools, data platforms)

AI / LLM Integration

• Integrate LLMs (OpenAI, Azure OpenAI, etc.) into production systems
• Build AI-powered services:
• Query optimization
• Risk scoring & explainability
• Estimation & prediction workflows
• Implement agentic AI patterns (multi-step reasoning, tool-using agents, orchestration)
• Work closely with ML engineers to productionize AI models

Enterprise Readiness

• Implement RBAC, audit logging, governance, and guardrails
• Design systems with security, compliance, and observability in mind
• Contribute to CI/CD pipelines, deployments, and production monitoring

Required Skills & Experience

Core Engineering

• 4–8+ years of experience as a Full Stack Engineer
• Strong backend experience with Python (FastAPI preferred) or equivalent
• Solid frontend experience with React / modern JS frameworks
• Strong understanding of REST APIs, async processing, microservices

Data & Systems

• Hands-on experience with large databases and complex schemas
• Strong SQL skills and experience optimizing queries
• Experience building enterprise-grade, data-heavy applications

AI / Modern Stack

• Practical experience integrating LLMs or AI services into applications
• Familiarity with:
• Prompting & structured outputs
• AI evaluation & guardrails
• Explainability and risk-aware AI
• Exposure to agentic AI frameworks or multi-step AI workflows is a big plus

Nice-to-Have (Strong Differentiators)

• Experience building AI-powered SaaS or internal enterprise platforms
• Background in analytics, risk systems, finance, supply chain, or operations
• Experience with Redis, message queues, background workers
• Familiarity with Azure / AWS, containerization, Kubernetes
• Ability to translate business problems → system design

What We Look For (Beyond Skills)

• Strong systems thinking — you see the whole picture
• Comfortable operating in ambiguous, zero-to-one builds
• Ability to reason about scale, cost, and enterprise constraints
• Builder mindset — you ship, iterate, and own outcomes

Why Join Ampera

• Work on real enterprise AI platforms, not demos or chatbots
• Exposure to LLMs, agentic AI, and applied AI at scale
• High ownership, senior-heavy team, minimal bureaucracy
• Opportunity to shape core architecture and AI strategy
• 
  

Role Overview

We are seeking a highly skilled and innovative AI Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

Key Responsibilities

AI Model Development

• Design, develop, and optimize AI solutions, including LLMs, RAG architectures, and Graph-based RAG systems, tailored to specific business needs.
• Develop and fine-tune models for tasks such as Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning (RL).

Prompt Engineering and AI Agents

• Work with prompt optimization to enhance LLM-based responses for specific use cases.
• Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention.

Data Processing and Management

• Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation.
• Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems.

Algorithm Selection and Optimization

• Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements.
• Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy.

Deployment and Integration

• Deploy AI/ML models in production-grade environments, ensuring scalability, reliability, and seamless integration with existing systems.
• Implement model monitoring pipelines to ensure performance consistency over time.

Research and Development

• Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures, diffusion models, and multi-modal AI.
• Experiment with emerging tools like LangChain, Hugging Face, and OpenAI APIs to innovate solutions.

Collaboration and Knowledge Sharing

• Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions.
• Document workflows, processes, and findings to enable knowledge sharing and continuity across teams.

Required Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field.

Experience

• Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven solutions.

Technical Proficiency

• Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
• Experience working with LLMs, transformers, and generative AI tools.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure, including AI-focused services like SageMaker and Vertex AI.
• Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems.

Analytical Expertise

• Strong understanding of advanced statistical methods, mathematical concepts, and probabilistic models.
• Ability to analyze and interpret data for actionable insights and model improvements.

Soft Skills

• Exceptional problem-solving and critical-thinking abilities.
• Strong communication skills to effectively collaborate with cross-functional teams.
• Adaptability to a fast-paced, innovation-driven environment.

Preferred Qualifications

• Hands-on experience with LangChain, Hugging Face Transformers, or OpenAI API integrations.
• Expertise in specialized AI domains like multi-modal learning, conversational AI, and prompt engineering.
• Contributions to open-source AI projects or publications in recognized AI/ML conferences or journals.
• Familiarity with deploying AI Agents in production systems.

What We Offer

• Competitive Compensation & Benefits aligned with your experience and the impact you bring.
• Opportunity for Growth in a rapidly expanding B2B SaaS company.
• Cutting-Edge Technology & Projects in the WhatsApp Business API and Click to WhatsApp Ads space.
• Collaborative Work Environment that fosters innovation, learning, and career development.
• Flexible & Inclusive Culture, where every team member has a voice and the chance to make a significant impact.

What you will be doing

You will join our team as our Senior PHP Developer (Laravel) and your main responsibilities will be to:

• Write clean and maintainable code with good test coverage.
• Implement new features in collaboration with our design team.
• Optimize existing code to perfection with special attention to performance and maintainability.
• Do a code review of your colleagues work.

You and our future-proof stack

• We seek a balance between sticking with what works and fearlessly exploring the new.
• We use the latest stable version of PHP 7|8 because it allows us to write better code using features like strict type declarations, typed class properties and arrow functions.
• We leverage the elegance, simplicity and readability of the latest Laravel version.
• We want to spend our precious time on things that matter the most; that's why we perfect our easy to run the development environment with Homestead and custom scripts.
• We write and run tests with PHPUnit and http://cypress.io/">JavaScript End to End Testing Framework.
• We have a great set of tools to maintain the code quality and run on CI/CD (psalm (error level 4), rector, phpcs, php-cs-fixer, phpcpd etc.)
• We use Rector to maintain our code quality.
• We’re constantly refactoring our front-end code intending to reach front-end heaven:
• Laravel Blade template engine.
• PostCSS to maximize the power of modern CSS.
• Webpack for perfect control over front-end assets.
• Latest JS with support for ES2020 features. To accomplish this we use the latest Babel releases.

We ❤ CI (Continuous Integration) and CD (Continuous Delivery) so we usually deploy a few releases per day: Zero downtime. Just a few buttons to push. No sweaty palms.

We care deeply about the Developer Experience (DX) of our codebase and tools. DX and DevOps is our middle name: Git, GitHub, HTTP/2, Assets CDN, AWS, Enterprise SSDs on our high-spec servers, and much more.

About you

• You have expert knowledge of PHP.
• You have expert knowledge of Laravel.
• You have experience with test-driven development (TDD).
• You have 6+ years of experience working professionally with OOP.
• Your work is based on a solid foundation in computer science fundamentals from data structures and algorithms to design patterns.
• You are an engineer by mindset and always try to understand how things work under the hood.
• You have substantial experience working with RESTful web services and ORM concepts.
• You love to learn through doing. You’re ready to put in some hard work to expand your skills.
• You speak and write acceptable English – not perfect English, just acceptable
• You are a team player and you don't bring your ego to work. 
• You are self-motivated and self-disciplined and thus work well in a flat hierarchy with lots of freedom.
• You love to have creative freedom, make independent judgments and live up to the responsibility that comes with that freedom.
• You love to create tangible results—every hour and every day.
• You love to make a positive impact on the world and the lives of others.

Devops engineer :

Roles and Responsibilities

• 3+ years of experience in Infrastructure setup on Cloud, Build/Release Engineering, Continuous Integration and Delivery, Configuration/Change Management.
• Good experience with Linux/Unix administration and moderate to significant experience administering relational databases such as PostgreSQL, etc.
• Experience with Docker and related tools (Cassandra, Rancher, Kubernetes etc.)
• Experience of working in Config management tools (Ansible, Chef, Puppet, Terraform etc.) is a plus.
• Experience with cloud technologies like Azure
• Experience with monitoring and alerting (TICK, ELK, Nagios, PagerDuty)
• Experience with distributed systems and related technologies (NSQ, RabbitMQ, SQS, etc.) is a plus
• Experience with scaling data store technologies is a plus (PostgreSQL, Scylla, Redis) is a plus
• Experience with SSH Certificate Authorities and Identity Management (Netflix BLESS) is a plus
• Experience with multi-domain SSL certs and provisioning a plus (Let's Encrypt) is a plus
• Experience with chaos or similar methodologies is a plus

Experience : 3-7 Years
Job Location : Pune/Remote (only India)
Notice Period : ASAP
Work Timings : 2.30 pm-11:30 pm IST

• Manage all quality standards and ensure all the processes laid down are well executed and monitored
• Handle all RBI/Internal Audits
• Handle all customer grievances escalated to RBI
• Coordinate with various teams - Operations, Business, Finance, Treasury, Secretarial, Compliance, IT, Customer Experience, etc.
• Act as the first point of contact for all regulatory & compliance advice to the business
• Revise SOPs periodically to identify hidden risks or non-conformity issues
• Draft, modify and implement company policies
• Assess the business's future ventures to identify possible compliance risks
• Keep abreast of regulatory developments within or outside of the company as well as evolving best practices in compliance control
• Prepare and present reports for senior management and external regulatory bodies as appropriate.

Key Skills Required

• Chartered Accountant or MBA (Finance) with 7+ years of Audit and Compliance experience in the retail and institutional Lending domain
• In-depth knowledge of regulatory norms for Lending
• Should have strong communication (verbal written) presentation skills
• Should possess strong networking relationship building skills
• MIS & Analytical skills
• Strong interpersonal/ conflict management/ negotiation and feedback providing skills