HR Manager

Job Title : Agentic AI Architect

Experience : 5+ Years

Location : Hyderabad (Work From Office)

Employment Type : Contract to Hire

Job Summary :

We are seeking an experienced Agentic AI Architect to design, develop, and deploy enterprise-grade AI solutions.

The ideal candidate should have hands-on expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and modern AI frameworks, with a strong focus on building scalable and production-ready AI applications.

Mandatory Skills :

Generative AI, Agentic AI, Python, LLMs, RAG, Prompt Engineering, LangChain, LlamaIndex, OpenAI, Hugging Face, AWS/Azure/GCP, MLOps/LLMOps, APIs, Microservices.

Key Responsibilities :

• Design and architect scalable enterprise AI solutions using Agentic AI and Generative AI technologies.
• Develop AI applications leveraging Python, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
• Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or similar.
• Integrate AI models with enterprise applications using APIs and microservices.
• Deploy, monitor, and optimize AI applications using MLOps/LLMOps best practices.
• Collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI solutions on cloud platforms.

Required Skills :

• 5+ years of experience in AI/ML, software engineering, or enterprise AI solution development.
• Strong hands-on experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
• Proficiency in Python for developing AI-powered applications and intelligent agents.
• Experience implementing Retrieval-Augmented Generation (RAG) pipelines and Prompt Engineering techniques.
• Hands-on expertise with AI frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or equivalent.
• Experience designing and integrating REST APIs and microservices-based architectures.
• Good knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with MLOps/LLMOps tools for model deployment, monitoring, and lifecycle management.
• Strong understanding of scalable, secure, and production-ready AI solution architecture.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

• Experience with vector databases and AI orchestration frameworks.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of cloud-native architecture and distributed systems.
• Experience working on enterprise AI transformation projects.

We are looking for a Senior Systems Engineer with 10+ years of experience in systems-level engineering (Rust/C/C++), including 5+ years of production Rust, to design and build high-performance, low-latency, fault-tolerant trading infrastructure. Prior hands-on experience with financial trading systems is mandatory.

Responsibilities

1. Design, develop, and maintain high-performance backend services using Rust - Build scalable and reliable distributed systems capable of handling high request volumes - Optimize application performance, memory usage, and resource utilization - Design clean, maintainable, and well-tested software architecture
2. Collaborate with product, engineering, and DevOps teams to deliver production-ready solutions
3. Participate in architecture discussions, code reviews, and technical planning - Troubleshoot production issues and improve system reliability and observability - Write clean, well-documented, production-quality code following engineering best practices

Required Qualifications

1. 10+ years of professional systems programming experience in Rust, C, or C++ (5+ years production Rust)
2. Mandatory: hands-on experience with financial trading systems — exchanges, order books, matching engines, OMS/RMS, or market data systems (equities, F&O, FX, commodities, or crypto)
3. Strong understanding of exchange mechanics — order types, price-time priority matching, spot trading, derivatives (futures/perpetuals), options, margining and liquidation concepts
4. Strong experience building production-grade, low-latency, high-throughput backend applications
5. Solid understanding of distributed systems and concurrent programming — Raft/consensus, replication, snapshots, deterministic state machines, exactly-once semantics
6. Advanced concurrency: lock-free/wait-free structures, ring buffers, thread-per-core design, core pinning
7. Strong understanding of networking concepts — TCP/IP, UDP, multicast, real-time communication, asynchronous networking
8. Experience designing and implementing binary communication protocols for inter-service communication (SBE, Protocol Buffers, FlatBuffers, Cap'n Proto)
9. Experience with microservices architecture and event-driven systems - Experience with messaging systems such as Aeron, Kafka, NATS, or similar high-performance platforms
10. Strong understanding of in-memory data structures and efficient memory management — cache lines, memory ordering, NUMA, allocation-free design
11. Experience working with relational databases and caching systems
12. Experience working in Linux-based production environments
13. Familiarity with containerization and modern deployment practices
14. Strong debugging, profiling, and benchmarking skills (perf, flamegraphs, Criterion) - Excellent problem-solving and analytical abilities; ability to work independently and take ownership of technical deliverables

Preferred Technical Experience

1. Tokio, Tonic (gRPC), Serde, Tracing, Criterion, Cargo/Clippy/Rustfmt - Aeron, LMAX Disruptor, Chronicle, or FIX engines
2. Kernel-bypass networking concepts (io_uring, DPDK, AF_XDP); hardware timestamping
3. Lock-free or wait-free programming techniques
4. Options pricing / Greeks / volatility surface exposure

Preferred Qualifications

1. Experience designing highly available and fault-tolerant systems (active-active, consensus-based failover)
2. Deterministic simulation / property-based testing of stateful systems
3. Exposure to cloud infrastructure and production monitoring tools
4. Open-source contributions (openraft, TigerBeetle, tokio, etc.) or personal Rust systems projects

Selection Process

1. 3 Rounds of Technical Interview
2. 1 Round of Management Interview
3. Shortlisting based on work evidence (repo/PR/design doc/write-up of a hard problem solved)
4. Systems design deep-dive (order book / matching engine design), hands-on coding round, distributed systems round

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

About Insane

Charlie Chaplin, Steve Jobs, Oprah, Pythagoras, Nikola Tesla, and Einstein were crazy enough to believe that life is bigger. They believed that we are here to make a difference. To make the world a better place.

And we are Insane enough to believe that. We are here to take humanity forward. We believe in change. We believe that would need to be better every day. 

We are changing this world 1 step at a time.

Starting with the fundamentals of growth - Knowledge. We became carriers of change in the education industry. We are on a mission ‘to accelerate the impact of coaches in the world’. 

About the role

We are looking to hire a dedicated Direct Response Copywriter Writer to create strong communication for all the stages of the Customer Journey. The copywriter will be expected to create stories that resonate with the audience and move them to action. The copywriter will be responsible for producing video scripts, Landing pages, Facebook & Google ads, Emails, and much more.

The copywriter will be expected to be data-driven. They will be expected to analyze data to see what is working and what’s not. This individual will be responsible for conducting audience research to understand the target market and then create communication strategies that resonate. 

Content for video scripts, landing pages, Facebook and Google ads, and emails. Responsibilities include evaluating analytics to adjust content as needed.

Your day-to-day:

• In-depth audience research to understand the audience on industry-related topics in order to develop original content
• Writing copy for all the stages of the customer journey
• Measuring the impact of the copy through data and improving on a consistent basis
• All completed layouts and artwork must be thoroughly checked to ensure there are no mistakes
• Collaborate with internal partners to interpret project briefs and develop relevant concepts into content

Requirements

• Top-class English communication skills
• Ability to understand the audience to find out what motivates them.
• Ability to think conceptually
• An understanding of user experience
• Proven experience as a copywriter or related role
• Knowledge of online content strategy and creation

About you

• You’re numbers-driven.
• You love data.
• You're passionate and driven.
• You have a sharp eye for detail.
• You're proactive and reactive.
• You have 2+ years in Direct Response Copywriting

Requirement 1: Sr. Sales Executive ( Internal Requirement- Only Female candidates)

• Experience Required: Minimum 2 years in Direct/Perm Staffing and Contingent Staffing Sales for the USA market.
• Scadea Payroll
• Preferred Candidate: Female
• Budget: 6 LPA don’t go beyond.
• NO Cab Facility
• Shift: Night Shift (Onsite – Bangalore)
• Skills Required:
• Excellent communication skills
• Extensive experience in lead generation, cold calling, and cold emailing, US Staffing.
• Additional Criteria: Must have stayed in the same company for over a year.

What you need to have:

Node.js and frameworks available for it - Express, StrongLoop, etc
Understanding the nature of asynchronous programming and its quirks and workarounds
Integration of user-facing elements developed by front-end developers

front-end technologies - HTML5, and CSS3
Writing scalable, reusable, testable, and efficient code