Software Developer

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!)

**Company Overview**

We are a VC-backed fintech startup developing an innovative online trading platform. As we scale, we're seeking a skilled Backend Engineer with expertise in Python to join our growing team and help build a robust, scalable infrastructure for our cutting-edge trading application.

We're based out of the UK and have our engineering team in India.

**Job Description**

We are looking for a backend developer who specialises in Python. Your role will focus on developing and maintaining the server-side logic, optimising performance, and ensuring seamless integration with the frontend. You’ll work closely with the engineering and product teams to deliver a high-quality, secure, and scalable platform.

**Responsibilities**

1. Develop and maintain server-side logic using Python

2. Design and implement APIs for seamless integration with frontend components

3. Optimise backend performance and scalability for high traffic and large data loads

4. Build and maintain databases, ensuring security, data integrity, and optimal performance

5. Collaborate with frontend engineers to ensure smooth integration between backend and frontend systems

6. Troubleshoot, debug, and optimise backend infrastructure

7. Implement data protection, security protocols, and authentication mechanisms (e.g., JWT)

8. Maintain and enhance real-time communication systems using WebSockets or similar protocols

**Required Skills**

1. Strong proficiency in Python and related technologies, knowledge of databases and SQL, and experience with web frameworks like Django or FastAPI

2. Strong analytical and troubleshooting skills, and the ability to solve problems

3. Good understanding of OOPs, task broking services, Queues, Redis

4. Familiarity with RESTful API design and integration

5. Strong understanding of database management (e.g., PostgreSQL, Redis) and caching strategies

6. Familiarity with modern authentication and authorization mechanisms (e.g., JWT, OAuth)

7. Proficiency in working with cloud hosting services (AWS, Google Cloud, etc.)

8. Experience with containerization and orchestration tools (Docker, Kubernetes)

9. Knowledge of real-time communication protocols (e.g., WebSockets, TCP, SSE)

10. Strong understanding of security best practices for server-side applications

11. Experience with version control (Git) and CI/CD pipelines

12. Minimum of 2-3.5 years of experience building scalable backend systems

**Perks**

1. Work From Anywhere Flexibility

2. Unlimited Leaves policy*

3. Competitive salary and unlimited growth opportunities

4. Insights on how HFT is done using cutting edge technology

If you’re passionate about building scalable, high-performance backend systems and want to be part of a cutting-edge fintech startup, we’d love to hear from you!

Person should have strong knowledge in -

1. Core Java,

2. JSP

3. Spring Framework,

4. Spring Boot,

5. SOAP and REST Webservices

6. Application Security.

Person should have 4 to 6 Years of work experience in Java and the above-mentioned related technology.

Person should have good Oracle Database knowledge and have good communication skills.

Having work experience in BFSI domain will added advantage

Person needs to work from Mumbai location and also available to join the office

Responsibilities

- Software Engineering

- Design and develop highly scalable, available, reliable, secure and fault tolerant systems with minimal

guidance for a market leader in the logistics industry

- Partner with team members on functional and nonfunctional requirements and spread design

philosophy, goals and improve the code quality across the team

- Research new technologies and tools that enable building the next generation of our services

- Provide technology leadership to the team and foster engineering excellence

- Product Delivery

- Partner with product managers to define and execute on the feature roadmap

- Translate business requirements into scalable and extensible design

- Coordinate with various cross functional teams on planning and execution

- Maintaining automated build / test / deployment environments

Qualifications

- Software Engineering

- Should have at least 2 years of hands on experience in designing, developing, testing and deploying

applications on Java, Ruby, Kotlin, Python, Node or Go for large scale applications

- Deep knowledge of one of the programming language they have experience in

- Proficient in OOP and Design Patterns, experience with functional programming would be a plus

- Data modelling experience in Relational Databases

- Ability to design and implement low latency RESTful services

- Product Delivery

- Ability to scope, review and refine user stories for technical completeness and to alleviate dependency

risks.

- Well versed in working with agile methodologies which includes phases such as design, development,

code review, testing and release management

- Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source

code management tools

- Product Maintenance

- Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks

etc

- Continuously refactor applications to ensure high quality design.

Position Type: Full Time

Location: Hitech City, Hyderabad

Required Skills :

- Should have 3-8 years in .Net programming using .Net MVC or .Net Core.

- Must have hands-on experience with C# programming including .NET Framework, ASP.NET, and ADO.NET.

- Strong OOPS concepts and Unit Testing experience is a must.

- Experience on React.js is added advantage.

• 8+ years of relevant work experience
• Well-versed in data structures, algorithms, and software design. Programming experience with at least one of
• Java or Python and object-oriented design
• Knowledge on SQL, NoSQL databases, Messaging/Caching technologies and AW deployments is a plus
• Exposure to the architecture and design (design patterns, security, reliability and scaling) of new and current systems. Experience in building highly scalable business applications, which involve implementing large complex business flows involving multiple third-party integrations
• Prior startup experience is a plus

Technical Competencies

• Strong Java/J2EE development experience with demonstrated ability to develop and troubleshoot large mission applications & Software Products
• Experience on exception handling, correct use of data structures, multi-threaded programming, memory management and application tuning
• Excellent exposure in Object Oriented Design skills using Java/J2ee along with:
• Core Java Language (Collections, Concurrency/Multithreading)
• JDBC concepts (connection pooling, statement, result set)
• Web Technologies (Struts/Struts 2, Spring (IOP, MVC, AOP), Hibernate, JSP, Web services)
• Database optimization and profiling
• Core/JEE/Integration Design patterns/UML
• Should have experience in Unit Testing
• Good hands on experience with RDBMS like MySQL/Oracle with ability to write SQL Queries/Stored Procedures/Triggers/Joins/View etc
• Practical application of software product development standards and methodologies including Agile, XP, Kanban, RUP and UML
• Ability to apply design patterns consistently and also accurate when building per design requirements
• Good experience in source control, unit testing, code verification, documentation, automated build, continuous integration, metrics, and code reviews.
• Demonstrated problem solving, analytic and troubleshooting skills.
• Strong written and oral communication skills are required to effectively engage internal stakeholders and their technical representatives.

Responsibilities Include

You will break down business opportunities and problems into software solutions. You will work closely with the CTO to help product and marketing stakeholders distill the product vision and roadmap, into a technology vision. You will be responsible for the evolution of an already bleeding-edge highly distributed systems at the back-end, and would need to work with front-end architects to come up with the best user experience for the gaming platform. You will be required to make decisions quickly, and work under strict timelines. You would lead technology strategy through analysis of market trends and product requirements. You would help set coding guidelines and help bring the most modern tools to keep engineering processes most efficient.

Requirements

• B.E/MS in Computer Science or equivalent.
• 10+ years or more of progressive software technology experience with at least 3 years in an architectural role.
• Completely hands on with technology and architecture. Start-up experience is a huge plus.
• Ability to quickly prototype and demonstrate technology value adds and educate + drive adoption within the extended technology team
• Excellent and robust understanding of scalable product system architecture(s), platforms and core technologies
• Demonstrated problem-solving and leadership skills to pursue correct engineering process in adverse conditions. Ability to embrace and demonstrate leadership beyond ownership
• Work with engineering leadership to setup and manage processes.
• Track record of thought leadership and out of the box thinking in the technology arena.
• Ability to work efficiently in an entrepreneurial and in a start-up environment
• A Java/Spring/Akka, Javascript or Golang rockstar.
• Deep and hands on knowledge of some of these technologies - MySQL, NodeJS, message brokers such as Kafka/RabbitMQ, NoSQL datastore such as Mongo, Cassandra, Arango, distributed caches such as Redis/memcached, container technology such as Docker and Kubernetes etc.
• Great proficiency in distributed systems design, with an ability to make the right trade-offs for creating future-proof solutions.
• Building quick PoCs and full-fledged solutions with various AWS managed services would be a big plus.