Technical Lead

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

Working as a “Backend Developer” at Bonzai gives you the opportunity to work on maintaining and improving the platform.

• Work on the entire product lifecycle starting from design to deployment and monitoring.
• Explore new technologies such as Kotlin, patterns such as Domain-Driven Design and other cool stuff such as Gitlab CI/CD pipelines, Docker, ECS, Golang, Python, Terraform, distributed tracing and even Haskell.
• Ensure top-notch performance in terms of product and feature experience.

• 2 - 3 yrs of experience in Java, Spring Boot, Hibernate, Rest API, and MySQL.
• Good to have experience/knowledge of other programming languages such as Kotlin or Python, other DBs such as Redshift, platforms such as AWS and architectural patterns such as https://martinfowler.com/bliki/DomainDrivenDesign.html">Domain-Driven Design (DDD) and https://en.wikipedia.org/wiki/Hexagonal_architecture_(software)">Hexagonal architecture.
• Good understanding of Object-oriented concepts, Functional programming and Design Patterns.
• Exceptional communication skills and ability to articulate complex ideas in written, spoken and visual language
• Bachelor in engineering preferably from a leading institute across the globe.

If you are a great Java developer with experience in building scalable SaaS web applications and looking for an opportunity in building world-class products using cutting-edge technologies, please read on.

Nimesa is a Data Protection & Copy Data Management company creating an enterprise-class Backup & Recovery solution. Our product can cater to the needs of the enterprise AWS users who are looking for a 360 Data Protection solution that can do more than just Backup & Recovery.

As a Senior R&D Engineer, You will

• Design and build scalable complex systems with Java and Spring
• Contribute to the development of new features, debugging, and deliver timely fixes
• Perform peer code reviews in order to ensure quality standards

• Experience with Java, Spring Boot, AWS.
• Good at Design patterns, Algorithms.
• Experience with relational databases like PostgreSQL and MySQL
• Good understanding of web programming like REST and HTTP
• Strong Knowledge of Java Concurrency and Collection frameworks
• Knowledge of microservices architecture, messaging systems (RabbitMQ or Kafka), and docker is good to have
• Insights on workings of Database, Queues, Cache, servers.

We're looking for Senior Node js backend developers with over 2+ years of experience and strong expertise in Javascript based development using Node js and Express. We are looking for cadidates who are go-getters and are leaning towards leadership positions. Candidates must have a proven history of building, scaling, optimising and securing Node js based backends and APIs using a microservice architecture.

Bonus Skill : Experience with ReactJs, Postgres

We would prefer candidates who can join immediately or are currently serving their notice period.

Key Skills Required

1. A passion for Javascript based solutions and an extremely strong understanding of JavaScript

2. Proficiency in Node js and Express based development

3. Stong experience in building scalable REST APIs

4. Experience in implenting API security using tokens, encryptions keys and other methods

5. A proved history of building scalable and secure web applications and APIs with Node js using a microservice architecture

6. Working experience with API Gateways

7. Experience with Docker

8. Experience in maintaining code via Git workflows

9. Ability to work independantly or as a part of a team

10. Ability to work in an Agile environment

Responsibilities

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge

2. Building high quality code using coding standards based on the SRS/Documentation

3. Building component based, maintainable, scalable and reusable backend libraries/modules.

4. Building & documenting scalable APIs on the Open Spec standard

5. Unit testing development modules and APIs

6. Conducting code reviews to ensure that the highest quality standard are maintained

7. Securing backend applications and APIs using industry best practices

8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.

9. Optimizing code

10. Building and deploying the applications

What you bring to the table

• Education: Bachelor's degree in IT, computer science or related
• Experience: 5-9 years of relevant experience for SSE role
• Exposure to microservices, API management tools like Swagger
• Must have experience in working on Agile Scrum teams in the past and exposure to any of the Agile project management tools like Jira, Mingle, RTC, TFS etc.
• Proficient in application log analysis.
• Experience Java/JEE Development - especially EJB 2.1 / 3.0, JDBC
• Experience with application servers such as JBoss AS or IBM WAS is an advantage
• Experience in SQL programing using PostgreSQL / MySQL /Maria DB and JPA (Annotation Based)
• Knowledge of build tools such as Maven or Gradle and of continuous integration tools such as Jenkins, Nexus
• Basic knowledge of web services (SOAP or REST) and web technologies (HTML, CSS, JS)
• Basic knowledge of containers like Dockers, basic knowledge of cloud infrastructure
• Ability to interact and coordinate with employees at different levels, different groups, and different geographical locations within the company
• Ability to support multiple existing applications as well as work on building new ones
• Ability to provide accurate project estimates and make recommendations on specific technologies to use based on business requirements
• Good verbal and written Communication.
• Readiness for short term Domestic and International Travels

Preferred

• Industry knowledge with respect to payments systems and processing in the Debit/Credit and Account based payments (EFT Switching) from different channels like POS, ATM or ecommerce, Card Management System and Real Time Payment Systems.
• Exposure to the Interchange Interfaces like Visa Net, MasterCard, BankNet
• Exposure to Interchange Simulators and Mandates Management.

Job Summary
If you are passionate about technology, constantly seeking to learn and improve skillset, then you are the type of person we are looking for!
We are offering superb career growth opportunities, great compensation and benefits.
Java developers with only more than 7 Years of experience can apply.
Responsibilities and Duties

• Deliver tactical and strategic improvements to large scale Java/J2EE/Mobile based product
• Formulates and defines system scope and objectives through research and fact-finding to develop or modify moderately complex information systems
• Design, develop and test Java-based solutions using common standards and frameworks such as JAXB, JAX-WS, JAX-RS, JPA, JavaEE, Spring, and Hibernate
• Maintain and update all existing J2EE applications as needed
• Translate software requirements into working and maintainable solutions within the existing application frameworks
• Implement the product's lifecycle: Design, development, quality, deployment, and maintenance
• Develop and adhere to best-practices for developing applications
• Continuously contribute to team performance improvement and collaboration
• Collaborate effectively across teams

Benefits
Alternate Saturdays-Off!
Working Saturdays are Half-days!

Weekly Lunch
Birthday Celebrations
Festival Celebrations
Diwali Bonus
Annual Picnic
Healthiest and easy-going working experience with motivating team members.